Overview

Brought to you by YData

Dataset statistics

Number of variables154
Number of observations12
Missing cells0
Missing cells (%)0.0%
Total size in memory14.5 KiB
Average record size in memory1.2 KiB

Variable types

Text3
Numeric151

Alerts

Rating has constant value "A" Constant
FundaIndxint has unique values Unique
FundaIndxsga has unique values Unique
monthvwretd has unique values Unique
monthvwretx has unique values Unique
monthewretd has unique values Unique
monthewretx has unique values Unique
monthsprtrn has unique values Unique
monthspindx has unique values Unique
monthCAP1RET has unique values Unique
monthCAP2RET has unique values Unique
monthCAP3RET has unique values Unique
monthCAP4RET has unique values Unique
monthCAP5RET has unique values Unique
monthCAP6RET has unique values Unique
monthCAP7RET has unique values Unique
monthCAP8RET has unique values Unique
monthCAP9RET has unique values Unique
monthCAP10RET has unique values Unique
monthtotval has unique values Unique
monthtotcnt has unique values Unique
monthusdval has unique values Unique
monthusdcnt has unique values Unique
monthprtcnt has unique values Unique
monthtotret has unique values Unique
monthtotind has unique values Unique
monthcapret has unique values Unique
monthcapind has unique values Unique
monthincret has unique values Unique
monthincind has unique values Unique
SPIndvwretd has unique values Unique
SPIndvwretx has unique values Unique
SPIndewretd has unique values Unique
SPIndewretx has unique values Unique
SPIndtotval has unique values Unique
SPIndtotcnt has unique values Unique
SPIndusdval has unique values Unique
SPIndusdcnt has unique values Unique
SPIndspindx has unique values Unique
SPIndsprtrn has unique values Unique
SPporvwretd has unique values Unique
SPporvwretx has unique values Unique
SPporewretd has unique values Unique
SPporewretx has unique values Unique
SPportotval has unique values Unique
SPportotcnt has unique values Unique
SPporusdval has unique values Unique
SPporusdcnt has unique values Unique
SPporspindx has unique values Unique
SPporsprtrn has unique values Unique
usind2CRSPMEV1 has unique values Unique
usind2CRSPMEG1 has unique values Unique
usind2CRSPLCV1 has unique values Unique
usind2CRSPLCG1 has unique values Unique
usind2CRSPMIV1 has unique values Unique
usind2CRSPMIG1 has unique values Unique
usind2CRSPSCV1 has unique values Unique
usind2CRSPSCG1 has unique values Unique
usind2CRSPMEVT has unique values Unique
usind2CRSPMEGT has unique values Unique
usind2CRSPLCVT has unique values Unique
usind2CRSPLCGT has unique values Unique
usind2CRSPMIVT has unique values Unique
usind2CRSPMIGT has unique values Unique
usind2CRSPSCVT has unique values Unique
usind2CRSPSCGT has unique values Unique
stockvwretd has unique values Unique
stockvwretx has unique values Unique
stockvwTotVal has unique values Unique
stockvwUsdVal has unique values Unique
stockvwTotCnt has unique values Unique
stockvwUsdCnt has unique values Unique
stockewretd has unique values Unique
stockewretx has unique values Unique
stockewTotVal has unique values Unique
stockewUsdVal has unique values Unique
stockewTotCnt has unique values Unique
stockewUsdCnt has unique values Unique
stocksprtrn has unique values Unique
ustreb30ret has unique values Unique
ustreb30ind has unique values Unique
ustreb20ret has unique values Unique
ustreb20ind has unique values Unique
ustreb10ret has unique values Unique
ustreb10ind has unique values Unique
ustreb7ret has unique values Unique
ustreb7ind has unique values Unique
ustreb5ret has unique values Unique
ustreb5ind has unique values Unique
ustreb2ret has unique values Unique
ustreb2ind has unique values Unique
ustreb1ret has unique values Unique
ustreb1ind has unique values Unique
ustret90ret has unique values Unique
ustret90ind has unique values Unique
ustret30ret has unique values Unique
ustret30ind has unique values Unique
ustrecpiret has unique values Unique
ajexm has unique values Unique
ajpm has unique values Unique
cshtrm has unique values Unique
prccm has unique values Unique
prchm has unique values Unique
prclm has unique values Unique
trfm has unique values Unique
trt1m has unique values Unique
index_y has unique values Unique
CAPEI has unique values Unique
bm has unique values Unique
evm has unique values Unique
pe_op_basic has unique values Unique
pe_op_dil has unique values Unique
pe_exi has unique values Unique
pe_inc has unique values Unique
ps has unique values Unique
pcf has unique values Unique
npm has unique values Unique
opmbd has unique values Unique
opmad has unique values Unique
gpm has unique values Unique
ptpm has unique values Unique
cfm has unique values Unique
roa has unique values Unique
roe has unique values Unique
roce has unique values Unique
aftret_eq has unique values Unique
aftret_invcapx has unique values Unique
aftret_equity has unique values Unique
GProf has unique values Unique
equity_invcap has unique values Unique
debt_invcap has unique values Unique
totdebt_invcap has unique values Unique
capital_ratio has unique values Unique
cash_lt has unique values Unique
debt_at has unique values Unique
debt_ebitda has unique values Unique
lt_debt has unique values Unique
cash_debt has unique values Unique
lt_ppent has unique values Unique
dltt_be has unique values Unique
debt_assets has unique values Unique
debt_capital has unique values Unique
de_ratio has unique values Unique
at_turn has unique values Unique
rect_turn has unique values Unique
pay_turn has unique values Unique
sale_invcap has unique values Unique
sale_equity has unique values Unique
rd_sale has unique values Unique
adv_sale has unique values Unique
staff_sale has unique values Unique
accrual has unique values Unique

Reproduction

Analysis started2025-03-30 05:30:05.645247
Analysis finished2025-03-30 05:30:08.706362
Duration3.06 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Distinct3
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size192.0 B
2025-03-30T11:00:08.876404image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.166666667
Min length3

Characters and Unicode

Total characters62
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMoody's
2nd rowFitch
3rd rowMoody's
4th rowMoody's
5th rowFitch
ValueCountFrequency (%)
moody's 5
41.7%
s&p 4
33.3%
fitch 3
25.0%
2025-03-30T11:00:09.879630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 10
16.1%
M 5
8.1%
d 5
8.1%
y 5
8.1%
' 5
8.1%
s 5
8.1%
S 4
 
6.5%
& 4
 
6.5%
P 4
 
6.5%
F 3
 
4.8%
Other values (4) 12
19.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 62
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 10
16.1%
M 5
8.1%
d 5
8.1%
y 5
8.1%
' 5
8.1%
s 5
8.1%
S 4
 
6.5%
& 4
 
6.5%
P 4
 
6.5%
F 3
 
4.8%
Other values (4) 12
19.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 62
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 10
16.1%
M 5
8.1%
d 5
8.1%
y 5
8.1%
' 5
8.1%
s 5
8.1%
S 4
 
6.5%
& 4
 
6.5%
P 4
 
6.5%
F 3
 
4.8%
Other values (4) 12
19.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 62
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 10
16.1%
M 5
8.1%
d 5
8.1%
y 5
8.1%
' 5
8.1%
s 5
8.1%
S 4
 
6.5%
& 4
 
6.5%
P 4
 
6.5%
F 3
 
4.8%
Other values (4) 12
19.4%

Rating
Text

Constant 

Distinct1
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size192.0 B
2025-03-30T11:00:10.150463image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters12
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowA
3rd rowA
4th rowA
5th rowA
ValueCountFrequency (%)
a 12
100.0%
2025-03-30T11:00:10.882568image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 12
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 12
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 12
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A 12
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 12
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A 12
100.0%

FundaIndxint
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1482415231
Minimum-1.944229594
Maximum1.09632979
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:00:11.280128image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.944229594
5-th percentile-1.287822331
Q1-0.5494720722
median-0.1600449577
Q30.3858290933
95-th percentile0.9206010577
Maximum1.09632979
Range3.040559383
Interquartile range (IQR)0.9353011655

Descriptive statistics

Standard deviation0.8166385607
Coefficient of variation (CV)-5.508838168
Kurtosis0.9839116464
Mean-0.1482415231
Median Absolute Deviation (MAD)0.5275636693
Skewness-0.6069702412
Sum-1.778898277
Variance0.6668985387
MonotonicityNot monotonic
2025-03-30T11:00:11.740989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.3158909072 1
8.3%
-1.944229594 1
8.3%
1.09632979 1
8.3%
-0.7507618431 1
8.3%
0.0683512511 1
8.3%
0.5956436518 1
8.3%
0.7768230044 1
8.3%
-0.3914018121 1
8.3%
-0.7392364315 1
8.3%
-0.4862172858 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.944229594 1
8.3%
-0.7507618431 1
8.3%
-0.7392364315 1
8.3%
-0.4862172858 1
8.3%
-0.3914018121 1
8.3%
ValueCountFrequency (%)
1.09632979 1
8.3%
0.7768230044 1
8.3%
0.5956436518 1
8.3%
0.3158909072 1
8.3%
0.0683512511 1
8.3%

FundaIndxsga
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2099191236
Minimum-2.339596564
Maximum1.67830551
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:12.185818image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.339596564
5-th percentile-1.79905047
Q1-0.8097153457
median-0.08970436079
Q30.3951771411
95-th percentile1.212814482
Maximum1.67830551
Range4.017902073
Interquartile range (IQR)1.204892487

Descriptive statistics

Standard deviation1.060198542
Coefficient of variation (CV)-5.050509565
Kurtosis0.5551228833
Mean-0.2099191236
Median Absolute Deviation (MAD)0.6046597901
Skewness-0.2955191162
Sum-2.519029483
Variance1.124020948
MonotonicityNot monotonic
2025-03-30T11:00:12.646064image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.2269843012 1
8.3%
-0.8246513277 1
8.3%
1.67830551 1
8.3%
-0.547723483 1
8.3%
0.3920418897 1
8.3%
-0.8047366851 1
8.3%
0.4045828951 1
8.3%
-0.2584177358 1
8.3%
-1.356785484 1
8.3%
0.07900901424 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.339596564 1
8.3%
-1.356785484 1
8.3%
-0.8246513277 1
8.3%
-0.8047366851 1
8.3%
-0.547723483 1
8.3%
ValueCountFrequency (%)
1.67830551 1
8.3%
0.8319581866 1
8.3%
0.4045828951 1
8.3%
0.3920418897 1
8.3%
0.2269843012 1
8.3%

monthvwretd
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4394621566
Minimum-1.600611009
Maximum2.539257791
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:00:13.106660image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.600611009
5-th percentile-1.213754936
Q1-0.6932442621
median0.5215017058
Q31.40461573
95-th percentile2.190914986
Maximum2.539257791
Range4.1398688
Interquartile range (IQR)2.097859992

Descriptive statistics

Standard deviation1.286509265
Coefficient of variation (CV)2.927463141
Kurtosis-1.13609943
Mean0.4394621566
Median Absolute Deviation (MAD)1.048729535
Skewness0.01894026212
Sum5.273545879
Variance1.65510609
MonotonicityNot monotonic
2025-03-30T11:00:13.504354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.8972363314 1
8.3%
-1.600611009 1
8.3%
1.399596648 1
8.3%
-0.677786093 1
8.3%
-0.7396187694 1
8.3%
-0.2682630619 1
8.3%
2.539257791 1
8.3%
1.149623079 1
8.3%
0.8026522556 1
8.3%
0.2403511561 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.600611009 1
8.3%
-0.8972363314 1
8.3%
-0.7396187694 1
8.3%
-0.677786093 1
8.3%
-0.2682630619 1
8.3%
ValueCountFrequency (%)
2.539257791 1
8.3%
1.905907237 1
8.3%
1.419672978 1
8.3%
1.399596648 1
8.3%
1.149623079 1
8.3%

monthvwretx
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1294899283
Minimum-2.277950418
Maximum1.983992128
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:13.933101image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.277950418
5-th percentile-1.985466545
Q1-0.7889535475
median0.06609090823
Q30.3438911682
95-th percentile1.818406013
Maximum1.983992128
Range4.261942545
Interquartile range (IQR)1.132844716

Descriptive statistics

Standard deviation1.245641252
Coefficient of variation (CV)-9.619599519
Kurtosis-0.1299011604
Mean-0.1294899283
Median Absolute Deviation (MAD)0.8302475802
Skewness0.04624870064
Sum-1.55387914
Variance1.551622129
MonotonicityNot monotonic
2025-03-30T11:00:14.361599image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.682926464 1
8.3%
-0.7803433541 1
8.3%
0.2936660236 1
8.3%
0.206689463 1
8.3%
0.2259972741 1
8.3%
-2.277950418 1
8.3%
-0.07450764653 1
8.3%
-1.746161559 1
8.3%
0.4945666021 1
8.3%
-0.814784128 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.277950418 1
8.3%
-1.746161559 1
8.3%
-0.814784128 1
8.3%
-0.7803433541 1
8.3%
-0.7479699898 1
8.3%
ValueCountFrequency (%)
1.983992128 1
8.3%
1.682926464 1
8.3%
0.4945666021 1
8.3%
0.2936660236 1
8.3%
0.2259972741 1
8.3%

monthewretd
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1873157197
Minimum-0.9336381093
Maximum1.772377987
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:14.790679image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9336381093
5-th percentile-0.7998567555
Q1-0.4902130754
median-0.03815701996
Q30.8350380438
95-th percentile1.513587137
Maximum1.772377987
Range2.706016096
Interquartile range (IQR)1.325251119

Descriptive statistics

Standard deviation0.8920626727
Coefficient of variation (CV)4.762348158
Kurtosis-1.157470564
Mean0.1873157197
Median Absolute Deviation (MAD)0.6222489342
Skewness0.4564276854
Sum2.247788636
Variance0.795775812
MonotonicityNot monotonic
2025-03-30T11:00:15.266349image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.772377987 1
8.3%
1.054395216 1
8.3%
-0.4062747294 1
8.3%
-0.9336381093 1
8.3%
0.7619189864 1
8.3%
1.301849168 1
8.3%
-0.3892881917 1
8.3%
0.5377659584 1
8.3%
-0.6903992843 1
8.3%
-0.630412624 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.9336381093 1
8.3%
-0.6903992843 1
8.3%
-0.630412624 1
8.3%
-0.4434798925 1
8.3%
-0.4062747294 1
8.3%
ValueCountFrequency (%)
1.772377987 1
8.3%
1.301849168 1
8.3%
1.054395216 1
8.3%
0.7619189864 1
8.3%
0.5377659584 1
8.3%

monthewretx
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05689674844
Minimum-0.7159758069
Maximum1.03999244
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:15.726060image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7159758069
5-th percentile-0.6776042621
Q1-0.6248496056
median-0.1046971067
Q30.404580101
95-th percentile0.8105365052
Maximum1.03999244
Range1.755968247
Interquartile range (IQR)1.029429707

Descriptive statistics

Standard deviation0.6036778606
Coefficient of variation (CV)-10.61005905
Kurtosis-1.096009453
Mean-0.05689674844
Median Absolute Deviation (MAD)0.520972811
Skewness0.5015156533
Sum-0.6827609812
Variance0.3644269594
MonotonicityNot monotonic
2025-03-30T11:00:16.200523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.03999244 1
8.3%
-0.6240292936 1
8.3%
0.0130005065 1
8.3%
-0.7159758069 1
8.3%
-0.6273105417 1
8.3%
0.3336435315 1
8.3%
0.08769948286 1
8.3%
0.6173898097 1
8.3%
-0.2223947199 1
8.3%
0.6227998315 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.7159758069 1
8.3%
-0.6462093618 1
8.3%
-0.6273105417 1
8.3%
-0.6240292936 1
8.3%
-0.5613668591 1
8.3%
ValueCountFrequency (%)
1.03999244 1
8.3%
0.6227998315 1
8.3%
0.6173898097 1
8.3%
0.3336435315 1
8.3%
0.08769948286 1
8.3%

monthsprtrn
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.222818666
Minimum-2.52933744
Maximum0.9958575287
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:00:16.644534image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.52933744
5-th percentile-2.013424821
Q1-0.6612413746
median0.0741223162
Q30.5861160677
95-th percentile0.9079694661
Maximum0.9958575287
Range3.525194969
Interquartile range (IQR)1.247357442

Descriptive statistics

Standard deviation1.056763503
Coefficient of variation (CV)-4.742706352
Kurtosis0.5813116388
Mean-0.222818666
Median Absolute Deviation (MAD)0.6453690247
Skewness-1.006395505
Sum-2.673823992
Variance1.1167491
MonotonicityNot monotonic
2025-03-30T11:00:17.088754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.2835580706 1
8.3%
0.04476686709 1
8.3%
0.1034777653 1
8.3%
-0.5872694178 1
8.3%
-2.52933744 1
8.3%
0.8360610512 1
8.3%
0.9958575287 1
8.3%
0.6409038494 1
8.3%
-0.5552239991 1
8.3%
0.5678534738 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.52933744 1
8.3%
-1.591314496 1
8.3%
-0.8831572451 1
8.3%
-0.5872694178 1
8.3%
-0.5552239991 1
8.3%
ValueCountFrequency (%)
0.9958575287 1
8.3%
0.8360610512 1
8.3%
0.6409038494 1
8.3%
0.5678534738 1
8.3%
0.2835580706 1
8.3%

monthspindx
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02507661163
Minimum-0.9503309682
Maximum1.101656714
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:00:17.566614image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9503309682
5-th percentile-0.8345797877
Q1-0.321848386
median-0.06433947045
Q30.6025552358
95-th percentile0.9092919612
Maximum1.101656714
Range2.051987682
Interquartile range (IQR)0.9244036219

Descriptive statistics

Standard deviation0.6350831667
Coefficient of variation (CV)25.32571689
Kurtosis-0.8774551106
Mean0.02507661163
Median Absolute Deviation (MAD)0.5602108663
Skewness0.2039279832
Sum0.3009193395
Variance0.4033306286
MonotonicityNot monotonic
2025-03-30T11:00:18.028908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.08710884336 1
8.3%
0.03887760792 1
8.3%
1.101656714 1
8.3%
-0.9503309682 1
8.3%
-0.2482629008 1
8.3%
-0.2363528339 1
8.3%
0.6767702707 1
8.3%
0.751902618 1
8.3%
-0.04157009754 1
8.3%
-0.7398742765 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.9503309682 1
8.3%
-0.7398742765 1
8.3%
-0.5426048418 1
8.3%
-0.2482629008 1
8.3%
-0.2363528339 1
8.3%
ValueCountFrequency (%)
1.101656714 1
8.3%
0.751902618 1
8.3%
0.6767702707 1
8.3%
0.5778168909 1
8.3%
0.03887760792 1
8.3%

monthCAP1RET
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3507366949
Minimum-1.486770783
Maximum3.094049016
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:00:18.456524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.486770783
5-th percentile-1.390218408
Q1-0.5079336468
median0.03810016427
Q30.8900479044
95-th percentile3.012739112
Maximum3.094049016
Range4.580819798
Interquartile range (IQR)1.397981551

Descriptive statistics

Standard deviation1.453454627
Coefficient of variation (CV)4.144005028
Kurtosis0.3157023572
Mean0.3507366949
Median Absolute Deviation (MAD)0.8199575452
Skewness0.9123922833
Sum4.208840339
Variance2.112530353
MonotonicityNot monotonic
2025-03-30T11:00:18.933850image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.486770783 1
8.3%
0.04760355181 1
8.3%
0.9193028697 1
8.3%
0.8802962493 1
8.3%
-0.1008229902 1
8.3%
-0.424038582 1
8.3%
0.3752512556 1
8.3%
-1.31122101 1
8.3%
3.094049016 1
8.3%
-0.759618841 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.486770783 1
8.3%
-1.31122101 1
8.3%
-0.759618841 1
8.3%
-0.424038582 1
8.3%
-0.1008229902 1
8.3%
ValueCountFrequency (%)
3.094049016 1
8.3%
2.946212827 1
8.3%
0.9193028697 1
8.3%
0.8802962493 1
8.3%
0.3752512556 1
8.3%

monthCAP2RET
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0441481202
Minimum-2.121555941
Maximum2.307791695
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:19.377464image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.121555941
5-th percentile-1.625135061
Q1-0.8753092129
median-0.06046489025
Q30.3860757398
95-th percentile2.034936894
Maximum2.307791695
Range4.429347636
Interquartile range (IQR)1.261384953

Descriptive statistics

Standard deviation1.257078698
Coefficient of variation (CV)-28.47411605
Kurtosis0.07578704202
Mean-0.0441481202
Median Absolute Deviation (MAD)0.7462824128
Skewness0.4109163923
Sum-0.5297774424
Variance1.580246853
MonotonicityNot monotonic
2025-03-30T11:00:19.918660image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.811692056 1
8.3%
-1.145177424 1
8.3%
0.707211683 1
8.3%
2.307791695 1
8.3%
-2.121555941 1
8.3%
-0.4272856256 1
8.3%
-1.218972523 1
8.3%
0.1837711346 1
8.3%
0.2790304255 1
8.3%
0.1410366558 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.121555941 1
8.3%
-1.218972523 1
8.3%
-1.145177424 1
8.3%
-0.7853531425 1
8.3%
-0.4272856256 1
8.3%
ValueCountFrequency (%)
2.307791695 1
8.3%
1.811692056 1
8.3%
0.707211683 1
8.3%
0.2790304255 1
8.3%
0.1837711346 1
8.3%

monthCAP3RET
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4745331717
Minimum-1.974137448
Maximum1.672279236
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:00:20.427272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.974137448
5-th percentile-1.929063189
Q1-1.240196921
median-0.916644618
Q30.4688567849
95-th percentile1.159388123
Maximum1.672279236
Range3.646416684
Interquartile range (IQR)1.709053706

Descriptive statistics

Standard deviation1.185574482
Coefficient of variation (CV)-2.498401697
Kurtosis-1.082444474
Mean-0.4745331717
Median Absolute Deviation (MAD)1.016516231
Skewness0.3781631501
Sum-5.69439806
Variance1.405586851
MonotonicityNot monotonic
2025-03-30T11:00:20.919456image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.630673367 1
8.3%
-1.110038105 1
8.3%
-1.058639349 1
8.3%
-0.8955094021 1
8.3%
0.7397499399 1
8.3%
0.4575426362 1
8.3%
0.4321926515 1
8.3%
0.502799231 1
8.3%
-1.892184249 1
8.3%
-0.9377798339 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.974137448 1
8.3%
-1.892184249 1
8.3%
-1.630673367 1
8.3%
-1.110038105 1
8.3%
-1.058639349 1
8.3%
ValueCountFrequency (%)
1.672279236 1
8.3%
0.7397499399 1
8.3%
0.502799231 1
8.3%
0.4575426362 1
8.3%
0.4321926515 1
8.3%

monthCAP4RET
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08153302745
Minimum-1.53645174
Maximum2.629212631
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:21.364674image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.53645174
5-th percentile-1.505559537
Q1-0.6038467736
median0.1022927508
Q30.8428398295
95-th percentile1.706083649
Maximum2.629212631
Range4.165664372
Interquartile range (IQR)1.446686603

Descriptive statistics

Standard deviation1.202734492
Coefficient of variation (CV)14.75150046
Kurtosis0.5105160693
Mean0.08153302745
Median Absolute Deviation (MAD)0.7701925014
Skewness0.4546029422
Sum0.9783963294
Variance1.446570258
MonotonicityNot monotonic
2025-03-30T11:00:21.793683image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.1435123444 1
8.3%
0.2733763479 1
8.3%
-1.53645174 1
8.3%
0.8131944069 1
8.3%
-0.3613857672 1
8.3%
2.629212631 1
8.3%
0.9317760974 1
8.3%
0.9507963003 1
8.3%
-0.06879084643 1
8.3%
0.3016951349 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.53645174 1
8.3%
-1.480284098 1
8.3%
-1.331229793 1
8.3%
-0.3613857672 1
8.3%
-0.1435123444 1
8.3%
ValueCountFrequency (%)
2.629212631 1
8.3%
0.9507963003 1
8.3%
0.9317760974 1
8.3%
0.8131944069 1
8.3%
0.3016951349 1
8.3%

monthCAP5RET
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07055807009
Minimum-1.778630833
Maximum2.218421424
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:22.237333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.778630833
5-th percentile-1.284637956
Q1-0.7328673503
median0.04992897246
Q30.2453283167
95-th percentile1.228303278
Maximum2.218421424
Range3.997052257
Interquartile range (IQR)0.978195667

Descriptive statistics

Standard deviation0.9679543323
Coefficient of variation (CV)-13.71854887
Kurtosis2.591965357
Mean-0.07055807009
Median Absolute Deviation (MAD)0.3048992955
Skewness0.7300305954
Sum-0.846696841
Variance0.9369355894
MonotonicityNot monotonic
2025-03-30T11:00:22.700017image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.4182066128 1
8.3%
2.218421424 1
8.3%
0.2914499232 1
8.3%
0.1527178992 1
8.3%
-0.1230139234 1
8.3%
-1.778630833 1
8.3%
-0.7174851861 1
8.3%
0.1740185566 1
8.3%
-0.8804619648 1
8.3%
-0.05285995429 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.778630833 1
8.3%
-0.8804619648 1
8.3%
-0.779013843 1
8.3%
-0.7174851861 1
8.3%
-0.1230139234 1
8.3%
ValueCountFrequency (%)
2.218421424 1
8.3%
0.4182066128 1
8.3%
0.2914499232 1
8.3%
0.2299544478 1
8.3%
0.1740185566 1
8.3%

monthCAP6RET
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05990244992
Minimum-1.196097232
Maximum2.270865281
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)66.7%
Memory size192.0 B
2025-03-30T11:00:23.176455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.196097232
5-th percentile-1.021721741
Q1-0.6699902085
median-0.3775268364
Q30.8709206314
95-th percentile1.923306832
Maximum2.270865281
Range3.466962513
Interquartile range (IQR)1.54091084

Descriptive statistics

Standard deviation1.108410578
Coefficient of variation (CV)18.50359342
Kurtosis-0.2958934835
Mean0.05990244992
Median Absolute Deviation (MAD)0.4707111942
Skewness0.9650309053
Sum0.718829399
Variance1.22857401
MonotonicityNot monotonic
2025-03-30T11:00:23.641641image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.196097232 1
8.3%
-0.6208452193 1
8.3%
1.638940827 1
8.3%
0.797802673 1
8.3%
-0.4161940027 1
8.3%
-0.3168217613 1
8.3%
-0.3388596701 1
8.3%
1.090274506 1
8.3%
-0.817425176 1
8.3%
-0.4937599424 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.196097232 1
8.3%
-0.8790508852 1
8.3%
-0.817425176 1
8.3%
-0.6208452193 1
8.3%
-0.4937599424 1
8.3%
ValueCountFrequency (%)
2.270865281 1
8.3%
1.638940827 1
8.3%
1.090274506 1
8.3%
0.797802673 1
8.3%
-0.3168217613 1
8.3%

monthCAP7RET
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07698413865
Minimum-1.269689987
Maximum2.018966111
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:00:24.129570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.269689987
5-th percentile-1.189721421
Q1-0.8547320442
median-0.319730558
Q30.506483437
95-th percentile1.494758299
Maximum2.018966111
Range3.288656098
Interquartile range (IQR)1.361215481

Descriptive statistics

Standard deviation1.009341901
Coefficient of variation (CV)-13.11103714
Kurtosis-0.05747049459
Mean-0.07698413865
Median Absolute Deviation (MAD)0.6769520369
Skewness0.7969666151
Sum-0.9238096638
Variance1.018771073
MonotonicityNot monotonic
2025-03-30T11:00:24.558839image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.8863301961 1
8.3%
0.1380871531 1
8.3%
-1.269689987 1
8.3%
-0.5904780685 1
8.3%
-1.124292594 1
8.3%
-0.8149639846 1
8.3%
1.065860999 1
8.3%
-0.9740362231 1
8.3%
0.3798678507 1
8.3%
2.018966111 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.269689987 1
8.3%
-1.124292594 1
8.3%
-0.9740362231 1
8.3%
-0.8149639846 1
8.3%
-0.5904780685 1
8.3%
ValueCountFrequency (%)
2.018966111 1
8.3%
1.065860999 1
8.3%
0.8863301961 1
8.3%
0.3798678507 1
8.3%
0.1380871531 1
8.3%

monthCAP8RET
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.542657985
Minimum-1.142130649
Maximum2.234478901
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:00:24.987342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.142130649
5-th percentile-1.021340794
Q1-0.08820325852
median0.4616553202
Q31.163445517
95-th percentile2.136784227
Maximum2.234478901
Range3.376609551
Interquartile range (IQR)1.251648776

Descriptive statistics

Standard deviation1.068761914
Coefficient of variation (CV)1.969494495
Kurtosis-0.6829539082
Mean0.542657985
Median Absolute Deviation (MAD)0.6728180942
Skewness0.06148353776
Sum6.51189582
Variance1.142252029
MonotonicityNot monotonic
2025-03-30T11:00:25.481180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.9225127304 1
8.3%
1.042019483 1
8.3%
-1.142130649 1
8.3%
0.3824414178 1
8.3%
0.2822076429 1
8.3%
-0.3036167053 1
8.3%
-0.01639877626 1
8.3%
0.5408692225 1
8.3%
2.056852221 1
8.3%
2.234478901 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.142130649 1
8.3%
-0.9225127304 1
8.3%
-0.3036167053 1
8.3%
-0.01639877626 1
8.3%
0.2822076429 1
8.3%
ValueCountFrequency (%)
2.234478901 1
8.3%
2.056852221 1
8.3%
1.52772362 1
8.3%
1.042019483 1
8.3%
0.8299621731 1
8.3%

monthCAP9RET
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1082565071
Minimum-1.485022158
Maximum1.330617036
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:00:25.919403image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.485022158
5-th percentile-1.46572707
Q1-0.8380098753
median-0.2744301306
Q30.8364264395
95-th percentile1.330378363
Maximum1.330617036
Range2.815639194
Interquartile range (IQR)1.674436315

Descriptive statistics

Standard deviation1.003664795
Coefficient of variation (CV)-9.271172894
Kurtosis-1.258268097
Mean-0.1082565071
Median Absolute Deviation (MAD)0.8534465588
Skewness0.2000218312
Sum-1.299078086
Variance1.00734302
MonotonicityNot monotonic
2025-03-30T11:00:26.364781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.3627379135 1
8.3%
-1.44994018 1
8.3%
-0.4923510121 1
8.3%
1.330617036 1
8.3%
0.8107036553 1
8.3%
-0.8186166796 1
8.3%
-0.8961894623 1
8.3%
1.330183086 1
8.3%
0.9135947918 1
8.3%
0.006803098393 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.485022158 1
8.3%
-1.44994018 1
8.3%
-0.8961894623 1
8.3%
-0.8186166796 1
8.3%
-0.4923510121 1
8.3%
ValueCountFrequency (%)
1.330617036 1
8.3%
1.330183086 1
8.3%
0.9135947918 1
8.3%
0.8107036553 1
8.3%
0.006803098393 1
8.3%

monthCAP10RET
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06510560997
Minimum-1.32209932
Maximum1.561906425
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)66.7%
Memory size192.0 B
2025-03-30T11:00:26.793431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.32209932
5-th percentile-1.237644067
Q1-0.3682898585
median-0.09260619973
Q30.03300330175
95-th percentile1.375025707
Maximum1.561906425
Range2.884005745
Interquartile range (IQR)0.4012931602

Descriptive statistics

Standard deviation0.8181704663
Coefficient of variation (CV)-12.56681977
Kurtosis0.8044803624
Mean-0.06510560997
Median Absolute Deviation (MAD)0.2111527388
Skewness0.605430149
Sum-0.7812673197
Variance0.6694029119
MonotonicityNot monotonic
2025-03-30T11:00:27.205947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.222123302 1
8.3%
-0.01419802441 1
8.3%
-0.4332598835 1
8.3%
-1.32209932 1
8.3%
-0.1898025197 1
8.3%
1.561906425 1
8.3%
0.07567229405 1
8.3%
0.01878030432 1
8.3%
-0.3466331835 1
8.3%
-0.07861763854 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.32209932 1
8.3%
-1.168544315 1
8.3%
-0.4332598835 1
8.3%
-0.3466331835 1
8.3%
-0.1898025197 1
8.3%
ValueCountFrequency (%)
1.561906425 1
8.3%
1.222123302 1
8.3%
0.07567229405 1
8.3%
0.01878030432 1
8.3%
-0.01419802441 1
8.3%

monthtotval
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3318578843
Minimum-0.8424004825
Maximum2.437769588
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:00:27.602374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8424004825
5-th percentile-0.7615882944
Q1-0.2170949568
median0.1808747478
Q30.6702553915
95-th percentile1.776637771
Maximum2.437769588
Range3.280170071
Interquartile range (IQR)0.8873503483

Descriptive statistics

Standard deviation0.9003120534
Coefficient of variation (CV)2.712944595
Kurtosis1.669355085
Mean0.3318578843
Median Absolute Deviation (MAD)0.4718102923
Skewness1.06654957
Sum3.982294611
Variance0.8105617935
MonotonicityNot monotonic
2025-03-30T11:00:28.051815image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.3491725403 1
8.3%
1.235711739 1
8.3%
0.1721213723 1
8.3%
0.58358847 1
8.3%
-0.6954692313 1
8.3%
0.9302561562 1
8.3%
2.437769588 1
8.3%
-0.1694492375 1
8.3%
0.1896281233 1
8.3%
0.1513976879 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.8424004825 1
8.3%
-0.6954692313 1
8.3%
-0.3600321147 1
8.3%
-0.1694492375 1
8.3%
0.1513976879 1
8.3%
ValueCountFrequency (%)
2.437769588 1
8.3%
1.235711739 1
8.3%
0.9302561562 1
8.3%
0.58358847 1
8.3%
0.3491725403 1
8.3%

monthtotcnt
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6647460319
Minimum-0.4681827913
Maximum2.126435589
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:00:28.506999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.4681827913
5-th percentile-0.3622129158
Q1-0.06988115357
median0.4692247806
Q31.382704515
95-th percentile2.046764556
Maximum2.126435589
Range2.59461838
Interquartile range (IQR)1.452585669

Descriptive statistics

Standard deviation0.9051626274
Coefficient of variation (CV)1.361666838
Kurtosis-1.163288252
Mean0.6647460319
Median Absolute Deviation (MAD)0.6826865409
Skewness0.5280293937
Sum7.976952383
Variance0.8193193821
MonotonicityNot monotonic
2025-03-30T11:00:28.965236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.3721686815 1
8.3%
-0.2755102905 1
8.3%
0.2316480155 1
8.3%
-0.4681827913 1
8.3%
1.261933877 1
8.3%
0.5662808797 1
8.3%
-0.04270379472 1
8.3%
2.126435589 1
8.3%
1.981579165 1
8.3%
0.6296998527 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.4681827913 1
8.3%
-0.2755102905 1
8.3%
-0.1514132301 1
8.3%
-0.04270379472 1
8.3%
0.2316480155 1
8.3%
ValueCountFrequency (%)
2.126435589 1
8.3%
1.981579165 1
8.3%
1.74501643 1
8.3%
1.261933877 1
8.3%
0.6296998527 1
8.3%

monthusdval
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5784679681
Minimum-2.116663761
Maximum0.4917963316
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)75.0%
Memory size192.0 B
2025-03-30T11:00:29.506481image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.116663761
5-th percentile-1.846268475
Q1-0.7875038176
median-0.6936916131
Q3-0.04794260989
95-th percentile0.3896162681
Maximum0.4917963316
Range2.608460092
Interquartile range (IQR)0.7395612077

Descriptive statistics

Standard deviation0.7648176374
Coefficient of variation (CV)-1.322143454
Kurtosis0.1589441242
Mean-0.5784679681
Median Absolute Deviation (MAD)0.4959915878
Skewness-0.5752701436
Sum-6.941615618
Variance0.5849460185
MonotonicityNot monotonic
2025-03-30T11:00:29.968208image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.7616882062 1
8.3%
-0.1217039544 1
8.3%
0.306014398 1
8.3%
-2.116663761 1
8.3%
-0.7310738351 1
8.3%
-0.2736960962 1
8.3%
-0.8649506516 1
8.3%
0.4917963316 1
8.3%
-0.7616459061 1
8.3%
0.1733414237 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.116663761 1
8.3%
-1.625035969 1
8.3%
-0.8649506516 1
8.3%
-0.7616882062 1
8.3%
-0.7616459061 1
8.3%
ValueCountFrequency (%)
0.4917963316 1
8.3%
0.306014398 1
8.3%
0.1733414237 1
8.3%
-0.1217039544 1
8.3%
-0.2736960962 1
8.3%

monthusdcnt
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2687405937
Minimum-1.948347259
Maximum1.842479045
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:00:30.427739image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.948347259
5-th percentile-1.83882729
Q1-0.238860049
median0.6281816542
Q31.03793684
95-th percentile1.573178216
Maximum1.842479045
Range3.790826304
Interquartile range (IQR)1.276796889

Descriptive statistics

Standard deviation1.168299227
Coefficient of variation (CV)4.34731207
Kurtosis0.1433445614
Mean0.2687405937
Median Absolute Deviation (MAD)0.6017341396
Skewness-0.8992954074
Sum3.224887124
Variance1.364923083
MonotonicityNot monotonic
2025-03-30T11:00:30.887863image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.106990413 1
8.3%
-1.749220043 1
8.3%
0.7130611809 1
8.3%
0.2203815828 1
8.3%
-0.3991517929 1
8.3%
1.842479045 1
8.3%
-1.948347259 1
8.3%
0.5800532484 1
8.3%
1.014918982 1
8.3%
1.352841175 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.948347259 1
8.3%
-1.749220043 1
8.3%
-0.3991517929 1
8.3%
-0.1854294677 1
8.3%
0.2203815828 1
8.3%
ValueCountFrequency (%)
1.842479045 1
8.3%
1.352841175 1
8.3%
1.106990413 1
8.3%
1.014918982 1
8.3%
0.7130611809 1
8.3%

monthprtcnt
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1208813892
Minimum-2.819930932
Maximum1.595609823
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:00:31.412288image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.819930932
5-th percentile-2.372340531
Q1-0.5744750428
median0.2663248589
Q30.62268371
95-th percentile1.208948655
Maximum1.595609823
Range4.415540755
Interquartile range (IQR)1.197158753

Descriptive statistics

Standard deviation1.274188717
Coefficient of variation (CV)-10.54081795
Kurtosis0.5957951513
Mean-0.1208813892
Median Absolute Deviation (MAD)0.5288583502
Skewness-1.053787537
Sum-1.45057667
Variance1.623556887
MonotonicityNot monotonic
2025-03-30T11:00:31.841021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.3905939062 1
8.3%
-2.006130203 1
8.3%
0.1420558116 1
8.3%
0.06698180782 1
8.3%
-2.819930932 1
8.3%
0.5124665162 1
8.3%
0.697776901 1
8.3%
1.595609823 1
8.3%
-1.131413611 1
8.3%
0.8925895171 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.819930932 1
8.3%
-2.006130203 1
8.3%
-1.131413611 1
8.3%
-0.3888288533 1
8.3%
0.06698180782 1
8.3%
ValueCountFrequency (%)
1.595609823 1
8.3%
0.8925895171 1
8.3%
0.697776901 1
8.3%
0.5976526464 1
8.3%
0.5124665162 1
8.3%

monthtotret
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4747586643
Minimum-2.156600697
Maximum1.931439151
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:00:32.314727image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.156600697
5-th percentile-1.464531874
Q1-0.504385566
median0.9093821479
Q31.43703783
95-th percentile1.809309955
Maximum1.931439151
Range4.088039848
Interquartile range (IQR)1.941423396

Descriptive statistics

Standard deviation1.27907551
Coefficient of variation (CV)2.694159382
Kurtosis-0.2924177746
Mean0.4747586643
Median Absolute Deviation (MAD)0.8355763157
Skewness-0.7823030645
Sum5.697103971
Variance1.636034159
MonotonicityNot monotonic
2025-03-30T11:00:32.778417image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.35941142 1
8.3%
-2.156600697 1
8.3%
1.594734007 1
8.3%
-0.4665499317 1
8.3%
-0.8982937458 1
8.3%
0.03823343522 1
8.3%
0.7910697023 1
8.3%
-0.6178924687 1
8.3%
1.384472438 1
8.3%
1.931439151 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.156600697 1
8.3%
-0.8982937458 1
8.3%
-0.6178924687 1
8.3%
-0.4665499317 1
8.3%
0.03823343522 1
8.3%
ValueCountFrequency (%)
1.931439151 1
8.3%
1.709386067 1
8.3%
1.594734007 1
8.3%
1.384472438 1
8.3%
1.35941142 1
8.3%

monthtotind
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05822440773
Minimum-2.073746187
Maximum1.630667777
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:00:33.238005image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.073746187
5-th percentile-1.818582084
Q1-1.324309103
median0.5602990142
Q30.8083692969
95-th percentile1.618791295
Maximum1.630667777
Range3.704413964
Interquartile range (IQR)2.132678399

Descriptive statistics

Standard deviation1.310191318
Coefficient of variation (CV)22.50244131
Kurtosis-1.29847883
Mean0.05822440773
Median Absolute Deviation (MAD)0.7702280492
Skewness-0.5419502504
Sum0.6986928927
Variance1.716601289
MonotonicityNot monotonic
2025-03-30T11:00:33.698137image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.3606791757 1
8.3%
1.051979954 1
8.3%
0.6686498602 1
8.3%
-1.609811454 1
8.3%
-1.255336116 1
8.3%
1.609074172 1
8.3%
-2.073746187 1
8.3%
1.630667777 1
8.3%
0.7271657444 1
8.3%
-1.531228063 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.073746187 1
8.3%
-1.609811454 1
8.3%
-1.531228063 1
8.3%
-1.255336116 1
8.3%
0.3606791757 1
8.3%
ValueCountFrequency (%)
1.630667777 1
8.3%
1.609074172 1
8.3%
1.051979954 1
8.3%
0.7271657444 1
8.3%
0.6686498602 1
8.3%

monthcapret
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5268132387
Minimum-0.8361778815
Maximum2.220018734
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)25.0%
Memory size192.0 B
2025-03-30T11:00:34.193935image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8361778815
5-th percentile-0.7879804207
Q1-0.1035032442
median0.6130095466
Q31.132563627
95-th percentile1.903038203
Maximum2.220018734
Range3.056196616
Interquartile range (IQR)1.236066871

Descriptive statistics

Standard deviation0.9605076418
Coefficient of variation (CV)1.823241277
Kurtosis-0.7345516905
Mean0.5268132387
Median Absolute Deviation (MAD)0.6861998938
Skewness0.1420880048
Sum6.321758864
Variance0.92257493
MonotonicityNot monotonic
2025-03-30T11:00:34.648597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.03512666993 1
8.3%
2.220018734 1
8.3%
-0.5193929864 1
8.3%
-0.7485461346 1
8.3%
0.5896095467 1
8.3%
1.04090935 1
8.3%
-0.8361778815 1
8.3%
0.1643183319 1
8.3%
0.6364095464 1
8.3%
1.643690495 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.8361778815 1
8.3%
-0.7485461346 1
8.3%
-0.5193929864 1
8.3%
0.03512666993 1
8.3%
0.1643183319 1
8.3%
ValueCountFrequency (%)
2.220018734 1
8.3%
1.643690495 1
8.3%
1.407526458 1
8.3%
1.04090935 1
8.3%
0.6882667341 1
8.3%

monthcapind
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08505437905
Minimum-1.668438754
Maximum1.842651373
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:35.038764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.668438754
5-th percentile-1.261161117
Q1-0.5458053213
median0.02291496736
Q30.8596480874
95-th percentile1.510223985
Maximum1.842651373
Range3.511090127
Interquartile range (IQR)1.405453409

Descriptive statistics

Standard deviation1.010922195
Coefficient of variation (CV)11.88559844
Kurtosis-0.5300875122
Mean0.08505437905
Median Absolute Deviation (MAD)0.7525829604
Skewness0.07893127865
Sum1.020652549
Variance1.021963685
MonotonicityNot monotonic
2025-03-30T11:00:35.451347image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.4888498427 1
8.3%
-0.5044964843 1
8.3%
1.842651373 1
8.3%
0.2421574907 1
8.3%
-0.6697318325 1
8.3%
-0.196327556 1
8.3%
0.9322900851 1
8.3%
1.238237941 1
8.3%
0.8354340882 1
8.3%
-1.668438754 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.668438754 1
8.3%
-0.9279339599 1
8.3%
-0.6697318325 1
8.3%
-0.5044964843 1
8.3%
-0.4888498427 1
8.3%
ValueCountFrequency (%)
1.842651373 1
8.3%
1.238237941 1
8.3%
0.9322900851 1
8.3%
0.8354340882 1
8.3%
0.3856600005 1
8.3%

monthincret
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2795734808
Minimum-1.057332817
Maximum0.8538085623
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:00:35.924010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.057332817
5-th percentile-1.049633931
Q1-0.9570163244
median-0.7883577795
Q30.6622446744
95-th percentile0.8511698553
Maximum0.8538085623
Range1.911141379
Interquartile range (IQR)1.619260999

Descriptive statistics

Standard deviation0.8319989324
Coefficient of variation (CV)-2.975957984
Kurtosis-1.914443983
Mean-0.2795734808
Median Absolute Deviation (MAD)0.2619760506
Skewness0.4908600464
Sum-3.35488177
Variance0.6922222235
MonotonicityNot monotonic
2025-03-30T11:00:36.403121image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.6492287903 1
8.3%
-1.057332817 1
8.3%
0.1199506802 1
8.3%
-0.9168178417 1
8.3%
-0.7050374801 1
8.3%
0.7012923268 1
8.3%
-0.9869253242 1
8.3%
0.8490109133 1
8.3%
0.8538085623 1
8.3%
-0.8716780788 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.057332817 1
8.3%
-1.043334843 1
8.3%
-0.9869253242 1
8.3%
-0.9470466578 1
8.3%
-0.9168178417 1
8.3%
ValueCountFrequency (%)
0.8538085623 1
8.3%
0.8490109133 1
8.3%
0.7012923268 1
8.3%
0.6492287903 1
8.3%
0.1199506802 1
8.3%

monthincind
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1591008792
Minimum-1.517306216
Maximum1.040618606
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)66.7%
Memory size192.0 B
2025-03-30T11:00:36.939617image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.517306216
5-th percentile-1.102043176
Q1-0.5256837969
median-0.1777906835
Q30.2079948554
95-th percentile0.8847751861
Maximum1.040618606
Range2.557924822
Interquartile range (IQR)0.7336786523

Descriptive statistics

Standard deviation0.6964890074
Coefficient of variation (CV)-4.377656558
Kurtosis0.3462488729
Mean-0.1591008792
Median Absolute Deviation (MAD)0.4361927681
Skewness-0.07565641318
Sum-1.909210551
Variance0.4850969374
MonotonicityNot monotonic
2025-03-30T11:00:37.485510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.7315425696 1
8.3%
0.7572669335 1
8.3%
0.1408429666 1
8.3%
1.040618606 1
8.3%
-0.1757819218 1
8.3%
-0.762282508 1
8.3%
-0.1797994452 1
8.3%
0.4094505219 1
8.3%
-0.2923196493 1
8.3%
-0.1412930632 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.517306216 1
8.3%
-0.762282508 1
8.3%
-0.7315425696 1
8.3%
-0.457064206 1
8.3%
-0.2923196493 1
8.3%
ValueCountFrequency (%)
1.040618606 1
8.3%
0.7572669335 1
8.3%
0.4094505219 1
8.3%
0.1408429666 1
8.3%
-0.1412930632 1
8.3%

SPIndvwretd
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3437247899
Minimum-1.366731733
Maximum0.9428461717
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)75.0%
Memory size192.0 B
2025-03-30T11:00:37.970500image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.366731733
5-th percentile-1.150135767
Q1-0.7309860733
median-0.3399327756
Q3-0.1304493338
95-th percentile0.6503454374
Maximum0.9428461717
Range2.309577905
Interquartile range (IQR)0.6005367395

Descriptive statistics

Standard deviation0.6360609171
Coefficient of variation (CV)-1.850494744
Kurtosis0.3390221793
Mean-0.3437247899
Median Absolute Deviation (MAD)0.4020932823
Skewness0.4599984941
Sum-4.124697479
Variance0.4045734903
MonotonicityNot monotonic
2025-03-30T11:00:38.485977image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.1531225626 1
8.3%
-1.366731733 1
8.3%
0.9428461717 1
8.3%
-0.2249732993 1
8.3%
-0.9707522876 1
8.3%
0.4110266548 1
8.3%
-0.3089075316 1
8.3%
-0.3709580196 1
8.3%
-0.5039194714 1
8.3%
-0.972920886 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.366731733 1
8.3%
-0.972920886 1
8.3%
-0.9707522876 1
8.3%
-0.6510640019 1
8.3%
-0.5039194714 1
8.3%
ValueCountFrequency (%)
0.9428461717 1
8.3%
0.4110266548 1
8.3%
0.1531225626 1
8.3%
-0.2249732993 1
8.3%
-0.2614656373 1
8.3%

SPIndvwretx
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1935519659
Minimum-1.268805908
Maximum1.281659217
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:38.947664image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.268805908
5-th percentile-0.6887586538
Q1-0.1442571677
median0.01630930706
Q30.5433812022
95-th percentile1.259230412
Maximum1.281659217
Range2.550465124
Interquartile range (IQR)0.6876383699

Descriptive statistics

Standard deviation0.7126675494
Coefficient of variation (CV)3.682047588
Kurtosis0.5327572152
Mean0.1935519659
Median Absolute Deviation (MAD)0.2952481571
Skewness-0.1724374318
Sum2.322623591
Variance0.507895036
MonotonicityNot monotonic
2025-03-30T11:00:39.491233image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.240879572 1
8.3%
0.159876634 1
8.3%
-0.13805185 1
8.3%
-1.268805908 1
8.3%
0.4331159639 1
8.3%
-0.1272580199 1
8.3%
1.281659217 1
8.3%
0.376321777 1
8.3%
-0.1322430541 1
8.3%
0.8741769172 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.268805908 1
8.3%
-0.2141745371 1
8.3%
-0.162873121 1
8.3%
-0.13805185 1
8.3%
-0.1322430541 1
8.3%
ValueCountFrequency (%)
1.281659217 1
8.3%
1.240879572 1
8.3%
0.8741769172 1
8.3%
0.4331159639 1
8.3%
0.376321777 1
8.3%

SPIndewretd
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06411281364
Minimum-1.951607194
Maximum1.727303925
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:00:39.916690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.951607194
5-th percentile-1.235458253
Q1-0.2461705963
median-0.03255243293
Q30.5407336125
95-th percentile1.363962476
Maximum1.727303925
Range3.678911119
Interquartile range (IQR)0.7869042088

Descriptive statistics

Standard deviation0.9220515615
Coefficient of variation (CV)14.38170483
Kurtosis1.570241651
Mean0.06411281364
Median Absolute Deviation (MAD)0.4944228224
Skewness-0.3931462065
Sum0.7693537637
Variance0.850179082
MonotonicityNot monotonic
2025-03-30T11:00:40.369165image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.1210966885 1
8.3%
-1.951607194 1
8.3%
0.6726077288 1
8.3%
-0.1642041047 1
8.3%
1.727303925 1
8.3%
0.4967755738 1
8.3%
0.2495845618 1
8.3%
1.066683109 1
8.3%
-0.06337316763 1
8.3%
-0.001731698226 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.951607194 1
8.3%
-0.6495182109 1
8.3%
-0.4920700709 1
8.3%
-0.1642041047 1
8.3%
-0.1210966885 1
8.3%
ValueCountFrequency (%)
1.727303925 1
8.3%
1.066683109 1
8.3%
0.6726077288 1
8.3%
0.4967755738 1
8.3%
0.2495845618 1
8.3%

SPIndewretx
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1434531465
Minimum-1.204935601
Maximum1.618381329
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:40.785013image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.204935601
5-th percentile-0.991733524
Q1-0.5391690276
median-0.08174071493
Q30.8740471805
95-th percentile1.471598195
Maximum1.618381329
Range2.82331693
Interquartile range (IQR)1.413216208

Descriptive statistics

Standard deviation0.9232603524
Coefficient of variation (CV)6.43597143
Kurtosis-1.282289549
Mean0.1434531465
Median Absolute Deviation (MAD)0.696164248
Skewness0.2407647397
Sum1.721437758
Variance0.8524096783
MonotonicityNot monotonic
2025-03-30T11:00:41.685180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.3286620152 1
8.3%
-0.489239233 1
8.3%
1.618381329 1
8.3%
-0.8172954609 1
8.3%
-0.6889584115 1
8.3%
0.81354804 1
8.3%
0.5750330351 1
8.3%
1.055544602 1
8.3%
-0.3223585508 1
8.3%
1.351502903 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.204935601 1
8.3%
-0.8172954609 1
8.3%
-0.6889584115 1
8.3%
-0.489239233 1
8.3%
-0.3286620152 1
8.3%
ValueCountFrequency (%)
1.618381329 1
8.3%
1.351502903 1
8.3%
1.055544602 1
8.3%
0.81354804 1
8.3%
0.5750330351 1
8.3%

SPIndtotval
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.234982241
Minimum-1.034136999
Maximum1.378284094
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:00:42.107532image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.034136999
5-th percentile-0.838735636
Q1-0.2222031039
median0.08235096532
Q30.897617956
95-th percentile1.267498776
Maximum1.378284094
Range2.412421093
Interquartile range (IQR)1.11982106

Descriptive statistics

Standard deviation0.7667448505
Coefficient of variation (CV)3.26299063
Kurtosis-1.026747735
Mean0.234982241
Median Absolute Deviation (MAD)0.604057627
Skewness0.007326485502
Sum2.819786892
Variance0.5878976657
MonotonicityNot monotonic
2025-03-30T11:00:42.501424image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.07736134762 1
8.3%
0.1037728368 1
8.3%
1.074185392 1
8.3%
0.5198634398 1
8.3%
0.06092909385 1
8.3%
-0.36935311 1
8.3%
-0.1731531018 1
8.3%
-0.6788617935 1
8.3%
-1.034136999 1
8.3%
1.378284094 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.034136999 1
8.3%
-0.6788617935 1
8.3%
-0.36935311 1
8.3%
-0.1731531018 1
8.3%
-0.07736134762 1
8.3%
ValueCountFrequency (%)
1.378284094 1
8.3%
1.176856244 1
8.3%
1.074185392 1
8.3%
0.8387621439 1
8.3%
0.5198634398 1
8.3%

SPIndtotcnt
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2070751817
Minimum-1.139691705
Maximum1.384324418
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:00:42.959151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.139691705
5-th percentile-1.095833811
Q1-0.2804005909
median0.1413773101
Q31.05151268
95-th percentile1.355319406
Maximum1.384324418
Range2.524016123
Interquartile range (IQR)1.331913271

Descriptive statistics

Standard deviation0.8761348986
Coefficient of variation (CV)4.230999057
Kurtosis-1.070202139
Mean0.2070751817
Median Absolute Deviation (MAD)0.6955248945
Skewness-0.03318763236
Sum2.48490218
Variance0.7676123605
MonotonicityNot monotonic
2025-03-30T11:00:43.411612image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.9894420783 1
8.3%
0.1986961844 1
8.3%
-0.4016077107 1
8.3%
1.384324418 1
8.3%
1.237724486 1
8.3%
0.08405843584 1
8.3%
-0.2399982176 1
8.3%
-1.139691705 1
8.3%
-1.059950079 1
8.3%
-0.1301226297 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.139691705 1
8.3%
-1.059950079 1
8.3%
-0.4016077107 1
8.3%
-0.2399982176 1
8.3%
-0.1301226297 1
8.3%
ValueCountFrequency (%)
1.384324418 1
8.3%
1.331588032 1
8.3%
1.237724486 1
8.3%
0.9894420783 1
8.3%
0.2304388877 1
8.3%

SPIndusdval
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08409251605
Minimum-0.7969392605
Maximum1.005655093
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:00:43.868686image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7969392605
5-th percentile-0.6674280635
Q1-0.3655657588
median0.1006002441
Q30.3544608691
95-th percentile0.9798404775
Maximum1.005655093
Range1.802594354
Interquartile range (IQR)0.7200266279

Descriptive statistics

Standard deviation0.5699992075
Coefficient of variation (CV)6.778239424
Kurtosis-0.6924336111
Mean0.08409251605
Median Absolute Deviation (MAD)0.4588455336
Skewness0.2422944087
Sum1.009110193
Variance0.3248990966
MonotonicityNot monotonic
2025-03-30T11:00:44.366146image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.9587194283 1
8.3%
-0.3489820511 1
8.3%
-0.7969392605 1
8.3%
-0.5614643569 1
8.3%
0.2830448201 1
8.3%
0.2093904667 1
8.3%
0.568709016 1
8.3%
-0.09490656927 1
8.3%
0.04145712113 1
8.3%
1.005655093 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.7969392605 1
8.3%
-0.5614643569 1
8.3%
-0.4153168821 1
8.3%
-0.3489820511 1
8.3%
-0.09490656927 1
8.3%
ValueCountFrequency (%)
1.005655093 1
8.3%
0.9587194283 1
8.3%
0.568709016 1
8.3%
0.2830448201 1
8.3%
0.2093904667 1
8.3%

SPIndusdcnt
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2200250654
Minimum-1.570023293
Maximum2.380190139
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:44.821673image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.570023293
5-th percentile-1.029437114
Q1-0.351215582
median0.09260277178
Q30.6712209209
95-th percentile1.786357346
Maximum2.380190139
Range3.950213432
Interquartile range (IQR)1.022436503

Descriptive statistics

Standard deviation1.017119837
Coefficient of variation (CV)4.622745301
Kurtosis1.01288671
Mean0.2200250654
Median Absolute Deviation (MAD)0.5474804199
Skewness0.4910514595
Sum2.640300785
Variance1.034532763
MonotonicityNot monotonic
2025-03-30T11:00:45.353180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.3415879215 1
8.3%
0.6643875342 1
8.3%
2.380190139 1
8.3%
1.300494152 1
8.3%
-1.570023293 1
8.3%
0.6917210807 1
8.3%
0.6157788491 1
8.3%
0.3330120471 1
8.3%
-0.3800985635 1
8.3%
-0.1478065035 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.570023293 1
8.3%
-0.587139332 1
8.3%
-0.3800985635 1
8.3%
-0.3415879215 1
8.3%
-0.3186274039 1
8.3%
ValueCountFrequency (%)
2.380190139 1
8.3%
1.300494152 1
8.3%
0.6917210807 1
8.3%
0.6643875342 1
8.3%
0.6157788491 1
8.3%

SPIndspindx
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03582037966
Minimum-1.812334584
Maximum3.657701804
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)66.7%
Memory size192.0 B
2025-03-30T11:00:45.804766image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.812334584
5-th percentile-1.624645022
Q1-1.034511804
median-0.4068073284
Q30.3647154192
95-th percentile2.414277828
Maximum3.657701804
Range5.470036388
Interquartile range (IQR)1.399227224

Descriptive statistics

Standard deviation1.498257415
Coefficient of variation (CV)-41.8269552
Kurtosis2.480787125
Mean-0.03582037966
Median Absolute Deviation (MAD)0.6392707602
Skewness1.426546187
Sum-0.4298445559
Variance2.244775282
MonotonicityNot monotonic
2025-03-30T11:00:46.248594image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.4347749297 1
8.3%
-1.812334584 1
8.3%
-0.07636319932 1
8.3%
-1.471080836 1
8.3%
-1.069210657 1
8.3%
1.094339786 1
8.3%
3.657701804 1
8.3%
-1.02294552 1
8.3%
1.396930939 1
8.3%
-0.3815708918 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.812334584 1
8.3%
-1.471080836 1
8.3%
-1.069210657 1
8.3%
-1.02294552 1
8.3%
-0.4347749297 1
8.3%
ValueCountFrequency (%)
3.657701804 1
8.3%
1.396930939 1
8.3%
1.094339786 1
8.3%
0.1215072968 1
8.3%
-0.07636319932 1
8.3%

SPIndsprtrn
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7366566864
Minimum-2.635967868
Maximum0.323698442
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:00:46.687982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.635967868
5-th percentile-2.233791924
Q1-1.274946327
median-0.6250329798
Q30.07972254023
95-th percentile0.2479716569
Maximum0.323698442
Range2.95966631
Interquartile range (IQR)1.354668868

Descriptive statistics

Standard deviation0.9535688276
Coefficient of variation (CV)-1.29445486
Kurtosis-0.4677665947
Mean-0.7366566864
Median Absolute Deviation (MAD)0.7251838331
Skewness-0.6870051561
Sum-8.839880237
Variance0.909293509
MonotonicityNot monotonic
2025-03-30T11:00:47.103742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.4489989691 1
8.3%
-0.8010669904 1
8.3%
-1.183775951 1
8.3%
-2.635967868 1
8.3%
-1.904738879 1
8.3%
0.323698442 1
8.3%
-1.548457457 1
8.3%
0.1860133782 1
8.3%
0.1410074797 1
8.3%
0.05929422707 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.635967868 1
8.3%
-1.904738879 1
8.3%
-1.548457457 1
8.3%
-1.183775951 1
8.3%
-1.063645877 1
8.3%
ValueCountFrequency (%)
0.323698442 1
8.3%
0.1860133782 1
8.3%
0.1410074797 1
8.3%
0.05929422707 1
8.3%
0.03675822655 1
8.3%

SPporvwretd
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05110992183
Minimum-1.709309695
Maximum1.088696559
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:00:47.506912image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.709309695
5-th percentile-1.498598348
Q1-0.4911565712
median0.04278766622
Q30.5178366354
95-th percentile1.070814728
Maximum1.088696559
Range2.798006254
Interquartile range (IQR)1.008993207

Descriptive statistics

Standard deviation0.8863214088
Coefficient of variation (CV)-17.34147455
Kurtosis-0.3947000051
Mean-0.05110992183
Median Absolute Deviation (MAD)0.597466359
Skewness-0.5385205189
Sum-0.6133190619
Variance0.7855656397
MonotonicityNot monotonic
2025-03-30T11:00:47.919617image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.3145521705 1
8.3%
-1.326198156 1
8.3%
-0.7640457816 1
8.3%
-1.709309695 1
8.3%
0.4255357749 1
8.3%
1.05618414 1
8.3%
-0.400193501 1
8.3%
0.03850364563 1
8.3%
1.088696559 1
8.3%
0.04707168681 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.709309695 1
8.3%
-1.326198156 1
8.3%
-0.7640457816 1
8.3%
-0.400193501 1
8.3%
-0.1788551215 1
8.3%
ValueCountFrequency (%)
1.088696559 1
8.3%
1.05618414 1
8.3%
0.7947392171 1
8.3%
0.4255357749 1
8.3%
0.3145521705 1
8.3%

SPporvwretx
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4815365545
Minimum-0.9964159832
Maximum1.928373566
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)25.0%
Memory size192.0 B
2025-03-30T11:00:48.361251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9964159832
5-th percentile-0.6124299104
Q10.03496208027
median0.2900558337
Q31.258062946
95-th percentile1.690482809
Maximum1.928373566
Range2.924789549
Interquartile range (IQR)1.223100866

Descriptive statistics

Standard deviation0.8474755152
Coefficient of variation (CV)1.759940148
Kurtosis-0.4996691452
Mean0.4815365545
Median Absolute Deviation (MAD)0.4703702471
Skewness0.1989101438
Sum5.778438654
Variance0.7182147488
MonotonicityNot monotonic
2025-03-30T11:00:48.781532image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.1111831434 1
8.3%
1.495844918 1
8.3%
1.232921095 1
8.3%
1.3334885 1
8.3%
1.928373566 1
8.3%
-0.2982594873 1
8.3%
0.3861546882 1
8.3%
-0.06236933944 1
8.3%
0.06740588684 1
8.3%
-0.9964159832 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.9964159832 1
8.3%
-0.2982594873 1
8.3%
-0.06236933944 1
8.3%
0.06740588684 1
8.3%
0.1111831434 1
8.3%
ValueCountFrequency (%)
1.928373566 1
8.3%
1.495844918 1
8.3%
1.3334885 1
8.3%
1.232921095 1
8.3%
0.3861546882 1
8.3%

SPporewretd
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09552194141
Minimum-1.142078239
Maximum1.74737636
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:49.177926image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.142078239
5-th percentile-1.055258672
Q1-0.8789368494
median-0.2229760878
Q30.4149324857
95-th percentile1.41349174
Maximum1.74737636
Range2.889454599
Interquartile range (IQR)1.293869335

Descriptive statistics

Standard deviation0.9196951717
Coefficient of variation (CV)-9.628103849
Kurtosis-0.315318655
Mean-0.09552194141
Median Absolute Deviation (MAD)0.6471218627
Skewness0.7358072355
Sum-1.146263297
Variance0.8458392088
MonotonicityNot monotonic
2025-03-30T11:00:49.586069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.1221407141 1
8.3%
0.4425723536 1
8.3%
-1.142078239 1
8.3%
-0.9842244816 1
8.3%
1.140313415 1
8.3%
0.1473512731 1
8.3%
1.74737636 1
8.3%
0.4057191964 1
8.3%
-0.8497413322 1
8.3%
-0.6410762654 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.142078239 1
8.3%
-0.9842244816 1
8.3%
-0.9665234009 1
8.3%
-0.8497413322 1
8.3%
-0.6410762654 1
8.3%
ValueCountFrequency (%)
1.74737636 1
8.3%
1.140313415 1
8.3%
0.4425723536 1
8.3%
0.4057191964 1
8.3%
0.1473512731 1
8.3%

SPporewretx
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4735473109
Minimum-0.6052415099
Maximum1.624839045
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)25.0%
Memory size192.0 B
2025-03-30T11:00:50.060472image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.6052415099
5-th percentile-0.363594357
Q1-0.02322809999
median0.5129802703
Q30.8803362442
95-th percentile1.374041527
Maximum1.624839045
Range2.230080555
Interquartile range (IQR)0.9035643442

Descriptive statistics

Standard deviation0.652359743
Coefficient of variation (CV)1.377602043
Kurtosis-0.6882202601
Mean0.4735473109
Median Absolute Deviation (MAD)0.5207278357
Skewness0.09475648908
Sum5.682567731
Variance0.4255732343
MonotonicityNot monotonic
2025-03-30T11:00:50.476606image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.168843557 1
8.3%
1.049049607 1
8.3%
-0.1156942061 1
8.3%
0.5350451917 1
8.3%
0.007593935378 1
8.3%
-0.6052415099 1
8.3%
0.0642308337 1
8.3%
1.624839045 1
8.3%
0.8240984567 1
8.3%
0.8047705219 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.6052415099 1
8.3%
-0.16588305 1
8.3%
-0.1156942061 1
8.3%
0.007593935378 1
8.3%
0.0642308337 1
8.3%
ValueCountFrequency (%)
1.624839045 1
8.3%
1.168843557 1
8.3%
1.049049607 1
8.3%
0.8240984567 1
8.3%
0.8047705219 1
8.3%

SPportotval
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2550785898
Minimum-2.93616203
Maximum2.692378588
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:00:50.839872image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.93616203
5-th percentile-2.338022544
Q1-0.7310489608
median-0.3836883238
Q30.3752002423
95-th percentile1.60850345
Maximum2.692378588
Range5.628540618
Interquartile range (IQR)1.106249203

Descriptive statistics

Standard deviation1.390043199
Coefficient of variation (CV)-5.449470302
Kurtosis1.681635837
Mean-0.2550785898
Median Absolute Deviation (MAD)0.6068783098
Skewness0.1589987482
Sum-3.060943077
Variance1.932220096
MonotonicityNot monotonic
2025-03-30T11:00:51.255319image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.4758553366 1
8.3%
-0.2915213109 1
8.3%
-0.7742461136 1
8.3%
2.692378588 1
8.3%
-0.7166499098 1
8.3%
-0.5256533741 1
8.3%
0.7216965184 1
8.3%
0.2844917859 1
8.3%
-2.93616203 1
8.3%
0.1618881862 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.93616203 1
8.3%
-1.848635692 1
8.3%
-0.7742461136 1
8.3%
-0.7166499098 1
8.3%
-0.5256533741 1
8.3%
ValueCountFrequency (%)
2.692378588 1
8.3%
0.7216965184 1
8.3%
0.6473256115 1
8.3%
0.2844917859 1
8.3%
0.1618881862 1
8.3%

SPportotcnt
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04077968178
Minimum-3.006244428
Maximum1.262742483
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:00:51.695069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.006244428
5-th percentile-1.867991407
Q1-0.5739930981
median0.442767372
Q30.8047679588
95-th percentile1.210596532
Maximum1.262742483
Range4.268986911
Interquartile range (IQR)1.378761057

Descriptive statistics

Standard deviation1.198430092
Coefficient of variation (CV)29.38792162
Kurtosis3.019064473
Mean0.04077968178
Median Absolute Deviation (MAD)0.5593493598
Skewness-1.606938102
Sum0.4893561813
Variance1.436234684
MonotonicityNot monotonic
2025-03-30T11:00:52.090163image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.262742483 1
8.3%
0.8363018007 1
8.3%
0.6141292795 1
8.3%
0.519036078 1
8.3%
-0.7403175707 1
8.3%
0.1302666189 1
8.3%
0.3664986659 1
8.3%
0.7942566782 1
8.3%
-0.5185516072 1
8.3%
-3.006244428 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-3.006244428 1
8.3%
-0.9366934798 1
8.3%
-0.7403175707 1
8.3%
-0.5185516072 1
8.3%
0.1302666189 1
8.3%
ValueCountFrequency (%)
1.262742483 1
8.3%
1.167931663 1
8.3%
0.8363018007 1
8.3%
0.7942566782 1
8.3%
0.6141292795 1
8.3%

SPporusdval
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.019658988
Minimum-1.570812033
Maximum1.110173941
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:52.515796image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.570812033
5-th percentile-1.279120489
Q1-0.5616328427
median0.004896788209
Q30.6422715655
95-th percentile1.058829545
Maximum1.110173941
Range2.680985974
Interquartile range (IQR)1.203904408

Descriptive statistics

Standard deviation0.8609653357
Coefficient of variation (CV)-43.79499776
Kurtosis-0.809659374
Mean-0.019658988
Median Absolute Deviation (MAD)0.6862125832
Skewness-0.4187860213
Sum-0.235907856
Variance0.7412613092
MonotonicityNot monotonic
2025-03-30T11:00:52.940142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.7887849831 1
8.3%
-0.1008853755 1
8.3%
0.3798382024 1
8.3%
1.016820493 1
8.3%
-1.570812033 1
8.3%
1.110173941 1
8.3%
-1.040463771 1
8.3%
-0.1003717723 1
8.3%
0.1101653487 1
8.3%
0.5934337596 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.570812033 1
8.3%
-1.040463771 1
8.3%
-1.010621764 1
8.3%
-0.4119698691 1
8.3%
-0.1008853755 1
8.3%
ValueCountFrequency (%)
1.110173941 1
8.3%
1.016820493 1
8.3%
0.7887849831 1
8.3%
0.5934337596 1
8.3%
0.3798382024 1
8.3%

SPporusdcnt
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.239882874
Minimum-1.869165761
Maximum1.931111069
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:53.373088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.869165761
5-th percentile-1.722964843
Q1-1.338286551
median-0.3395102493
Q30.483377686
95-th percentile1.704243203
Maximum1.931111069
Range3.80027683
Interquartile range (IQR)1.821664237

Descriptive statistics

Standard deviation1.274681309
Coefficient of variation (CV)-5.313765373
Kurtosis-1.150430899
Mean-0.239882874
Median Absolute Deviation (MAD)1.030212994
Skewness0.3916164249
Sum-2.878594488
Variance1.62481244
MonotonicityNot monotonic
2025-03-30T11:00:53.881581image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.43259663 1
8.3%
-1.60334591 1
8.3%
-1.306849857 1
8.3%
0.1144759598 1
8.3%
1.518624039 1
8.3%
0.2493655911 1
8.3%
0.9693817869 1
8.3%
0.3213763191 1
8.3%
-0.9774746369 1
8.3%
-0.7934964583 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.869165761 1
8.3%
-1.60334591 1
8.3%
-1.43259663 1
8.3%
-1.306849857 1
8.3%
-0.9774746369 1
8.3%
ValueCountFrequency (%)
1.931111069 1
8.3%
1.518624039 1
8.3%
0.9693817869 1
8.3%
0.3213763191 1
8.3%
0.2493655911 1
8.3%

SPporspindx
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3127158925
Minimum-2.66365414
Maximum1.231380936
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:54.409477image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.66365414
5-th percentile-1.864520005
Q1-0.8532864834
median-0.03261925849
Q30.1563644262
95-th percentile0.7341305194
Maximum1.231380936
Range3.895035077
Interquartile range (IQR)1.00965091

Descriptive statistics

Standard deviation0.9799354626
Coefficient of variation (CV)-3.133628594
Kurtosis2.354170168
Mean-0.3127158925
Median Absolute Deviation (MAD)0.2816779328
Skewness-1.128188787
Sum-3.75259071
Variance0.9602735108
MonotonicityNot monotonic
2025-03-30T11:00:54.930322image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.1515432084 1
8.3%
-0.08005774853 1
8.3%
-2.66365414 1
8.3%
0.1386526255 1
8.3%
0.1708280794 1
8.3%
0.3272892693 1
8.3%
0.01481923156 1
8.3%
-0.8525422431 1
8.3%
-0.8555192046 1
8.3%
-1.210682986 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.66365414 1
8.3%
-1.210682986 1
8.3%
-0.8555192046 1
8.3%
-0.8525422431 1
8.3%
-0.1246477383 1
8.3%
ValueCountFrequency (%)
1.231380936 1
8.3%
0.3272892693 1
8.3%
0.1708280794 1
8.3%
0.1515432084 1
8.3%
0.1386526255 1
8.3%

SPporsprtrn
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1936701367
Minimum-0.8712110023
Maximum2.004228774
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:00:55.460644image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8712110023
5-th percentile-0.7928976556
Q1-0.5051166926
median0.04780688858
Q30.7046900233
95-th percentile1.639865164
Maximum2.004228774
Range2.875439777
Interquartile range (IQR)1.209806716

Descriptive statistics

Standard deviation0.9038381777
Coefficient of variation (CV)4.666894924
Kurtosis-0.329735022
Mean0.1936701367
Median Absolute Deviation (MAD)0.6924491669
Skewness0.6802188972
Sum2.32404164
Variance0.8169234515
MonotonicityNot monotonic
2025-03-30T11:00:55.970024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.7288230991 1
8.3%
-0.3983430045 1
8.3%
0.205068376 1
8.3%
2.004228774 1
8.3%
0.8113881199 1
8.3%
-0.1094545988 1
8.3%
1.341749484 1
8.3%
-0.4340118126 1
8.3%
-0.7184313326 1
8.3%
0.669123991 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.8712110023 1
8.3%
-0.7288230991 1
8.3%
-0.7184313326 1
8.3%
-0.4340118126 1
8.3%
-0.3983430045 1
8.3%
ValueCountFrequency (%)
2.004228774 1
8.3%
1.341749484 1
8.3%
0.8113881199 1
8.3%
0.669123991 1
8.3%
0.552757745 1
8.3%

usind2CRSPMEV1
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5268846022
Minimum-0.8939553908
Maximum2.5323876
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:00:56.463052image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8939553908
5-th percentile-0.8150712158
Q1-0.2442979265
median0.4716543875
Q31.251215857
95-th percentile1.902171494
Maximum2.5323876
Range3.426342991
Interquartile range (IQR)1.495513784

Descriptive statistics

Standard deviation0.9999942146
Coefficient of variation (CV)1.897937823
Kurtosis-0.09381738867
Mean0.5268846022
Median Absolute Deviation (MAD)0.7634972303
Skewness0.3980758215
Sum6.322615226
Variance0.9999884292
MonotonicityNot monotonic
2025-03-30T11:00:56.936587image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2.5323876 1
8.3%
1.365865335 1
8.3%
-0.3139950963 1
8.3%
0.788143544 1
8.3%
-0.8939553908 1
8.3%
1.386540135 1
8.3%
0.2729161143 1
8.3%
-0.2210655366 1
8.3%
0.535850335 1
8.3%
-0.7505296182 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.8939553908 1
8.3%
-0.7505296182 1
8.3%
-0.3139950963 1
8.3%
-0.2210655366 1
8.3%
0.2729161143 1
8.3%
ValueCountFrequency (%)
2.5323876 1
8.3%
1.386540135 1
8.3%
1.365865335 1
8.3%
1.212999364 1
8.3%
0.788143544 1
8.3%

usind2CRSPMEG1
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2350107678
Minimum-1.566808424
Maximum1.73932314
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:00:57.387597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.566808424
5-th percentile-1.464825472
Q1-1.00744881
median-0.531231533
Q30.6783710354
95-th percentile1.198493242
Maximum1.73932314
Range3.306131565
Interquartile range (IQR)1.685819845

Descriptive statistics

Standard deviation1.04001956
Coefficient of variation (CV)-4.425412374
Kurtosis-0.7585768315
Mean-0.2350107678
Median Absolute Deviation (MAD)0.8339367714
Skewness0.4532626233
Sum-2.820129214
Variance1.081640685
MonotonicityNot monotonic
2025-03-30T11:00:57.861273image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.6667853447 1
8.3%
0.2026783634 1
8.3%
-0.5955207903 1
8.3%
1.73932314 1
8.3%
0.7559960528 1
8.3%
0.7131281077 1
8.3%
-0.8936145017 1
8.3%
-1.348951734 1
8.3%
-1.381384875 1
8.3%
-1.566808424 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.566808424 1
8.3%
-1.381384875 1
8.3%
-1.348951734 1
8.3%
-0.8936145017 1
8.3%
-0.6448176215 1
8.3%
ValueCountFrequency (%)
1.73932314 1
8.3%
0.7559960528 1
8.3%
0.7131281077 1
8.3%
0.6667853447 1
8.3%
0.2026783634 1
8.3%

usind2CRSPLCV1
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2839626274
Minimum-1.735053605
Maximum2.727359702
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)25.0%
Memory size192.0 B
2025-03-30T11:00:58.344949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.735053605
5-th percentile-1.715454542
Q1-0.03144702636
median0.4336397945
Q30.8930579
95-th percentile1.827443867
Maximum2.727359702
Range4.462413308
Interquartile range (IQR)0.9245049263

Descriptive statistics

Standard deviation1.209044843
Coefficient of variation (CV)4.257760447
Kurtosis1.036442538
Mean0.2839626274
Median Absolute Deviation (MAD)0.4855298395
Skewness-0.04563860098
Sum3.407551528
Variance1.461789433
MonotonicityNot monotonic
2025-03-30T11:00:58.784720image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.091149093 1
8.3%
0.488250618 1
8.3%
0.4461063625 1
8.3%
0.9713931021 1
8.3%
-0.4207112306 1
8.3%
0.152049331 1
8.3%
2.727359702 1
8.3%
0.09830770839 1
8.3%
0.4211732266 1
8.3%
-1.699418945 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.735053605 1
8.3%
-1.699418945 1
8.3%
-0.4207112306 1
8.3%
0.09830770839 1
8.3%
0.152049331 1
8.3%
ValueCountFrequency (%)
2.727359702 1
8.3%
1.091149093 1
8.3%
0.9713931021 1
8.3%
0.8669461659 1
8.3%
0.488250618 1
8.3%

usind2CRSPLCG1
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4326681876
Minimum-1.332545774
Maximum1.733762692
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)25.0%
Memory size192.0 B
2025-03-30T11:00:59.252233image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.332545774
5-th percentile-0.7119662505
Q10.03264768566
median0.5011770711
Q30.9053508169
95-th percentile1.45617088
Maximum1.733762692
Range3.066308465
Interquartile range (IQR)0.8727031313

Descriptive statistics

Standard deviation0.8034776541
Coefficient of variation (CV)1.857029653
Kurtosis1.031736192
Mean0.4326681876
Median Absolute Deviation (MAD)0.4538509109
Skewness-0.6181478402
Sum5.192018251
Variance0.6455763406
MonotonicityNot monotonic
2025-03-30T11:00:59.818086image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.7621517137 1
8.3%
0.880466361 1
8.3%
1.733762692 1
8.3%
0.2402024286 1
8.3%
-1.332545774 1
8.3%
1.229050306 1
8.3%
-0.08631634544 1
8.3%
0.1373255759 1
8.3%
-0.2042193678 1
8.3%
0.9800041846 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.332545774 1
8.3%
-0.2042193678 1
8.3%
-0.08631634544 1
8.3%
0.07230236269 1
8.3%
0.1373255759 1
8.3%
ValueCountFrequency (%)
1.733762692 1
8.3%
1.229050306 1
8.3%
0.9800041846 1
8.3%
0.880466361 1
8.3%
0.7798341141 1
8.3%

usind2CRSPMIV1
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5978139585
Minimum-2.016384987
Maximum1.109977272
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)83.3%
Memory size192.0 B
2025-03-30T11:01:00.316308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.016384987
5-th percentile-1.78971017
Q1-0.9722752406
median-0.5354196419
Q3-0.1985641252
95-th percentile0.5566675959
Maximum1.109977272
Range3.12636226
Interquartile range (IQR)0.7737111154

Descriptive statistics

Standard deviation0.8274414299
Coefficient of variation (CV)-1.384111927
Kurtosis0.7374826232
Mean-0.5978139585
Median Absolute Deviation (MAD)0.3382798749
Skewness0.2268866222
Sum-7.173767502
Variance0.6846593199
MonotonicityNot monotonic
2025-03-30T11:01:00.900266image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.1942910506 1
8.3%
1.109977272 1
8.3%
0.103959679 1
8.3%
-2.016384987 1
8.3%
-1.604248956 1
8.3%
-0.6783622461 1
8.3%
-0.8497032976 1
8.3%
-0.7900759536 1
8.3%
-0.322181371 1
8.3%
-1.33999107 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.016384987 1
8.3%
-1.604248956 1
8.3%
-1.33999107 1
8.3%
-0.8497032976 1
8.3%
-0.7900759536 1
8.3%
ValueCountFrequency (%)
1.109977272 1
8.3%
0.103959679 1
8.3%
-0.1942910506 1
8.3%
-0.1999884834 1
8.3%
-0.322181371 1
8.3%

usind2CRSPMIG1
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1976623448
Minimum-1.303724631
Maximum1.24051608
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:01.508958image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.303724631
5-th percentile-1.194148532
Q1-0.9419877046
median-0.1107774583
Q30.1767147518
95-th percentile1.176552578
Maximum1.24051608
Range2.544240711
Interquartile range (IQR)1.118702456

Descriptive statistics

Standard deviation0.8446778643
Coefficient of variation (CV)-4.273337266
Kurtosis-0.8193005998
Mean-0.1976623448
Median Absolute Deviation (MAD)0.7331015337
Skewness0.4204121963
Sum-2.371948138
Variance0.7134806944
MonotonicityNot monotonic
2025-03-30T11:01:02.154187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.9952886668 1
8.3%
-0.1785968032 1
8.3%
-1.10449536 1
8.3%
-0.04295811334 1
8.3%
0.1306274088 1
8.3%
-1.303724631 1
8.3%
1.24051608 1
8.3%
-0.9242207173 1
8.3%
0.1306739391 1
8.3%
1.124218803 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.303724631 1
8.3%
-1.10449536 1
8.3%
-0.9952886668 1
8.3%
-0.9242207173 1
8.3%
-0.7635372666 1
8.3%
ValueCountFrequency (%)
1.24051608 1
8.3%
1.124218803 1
8.3%
0.3148371899 1
8.3%
0.1306739391 1
8.3%
0.1306274088 1
8.3%

usind2CRSPSCV1
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05417581616
Minimum-1.877996158
Maximum1.782004587
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:02.736901image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.877996158
5-th percentile-1.643366457
Q1-0.5312945173
median-0.0650943268
Q30.470665803
95-th percentile1.456035123
Maximum1.782004587
Range3.660000745
Interquartile range (IQR)1.00196032

Descriptive statistics

Standard deviation1.046864372
Coefficient of variation (CV)-19.32346287
Kurtosis-0.1483324414
Mean-0.05417581616
Median Absolute Deviation (MAD)0.5508565237
Skewness-0.02948261818
Sum-0.6501097939
Variance1.095925013
MonotonicityNot monotonic
2025-03-30T11:01:03.248822image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.4563623801 1
8.3%
0.8457968564 1
8.3%
-0.0307215486 1
8.3%
-1.877996158 1
8.3%
-0.4105620749 1
8.3%
-0.099467105 1
8.3%
1.782004587 1
8.3%
0.2697307072 1
8.3%
1.189332834 1
8.3%
-1.451396702 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.877996158 1
8.3%
-1.451396702 1
8.3%
-0.7560909288 1
8.3%
-0.4563623801 1
8.3%
-0.4105620749 1
8.3%
ValueCountFrequency (%)
1.782004587 1
8.3%
1.189332834 1
8.3%
0.8457968564 1
8.3%
0.3456221186 1
8.3%
0.2697307072 1
8.3%

usind2CRSPSCG1
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6915370232
Minimum-1.288228656
Maximum3.599466781
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:01:03.707241image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.288228656
5-th percentile-1.116253485
Q1-0.3346490745
median0.8409442824
Q31.417050447
95-th percentile2.725010302
Maximum3.599466781
Range4.887695436
Interquartile range (IQR)1.751699521

Descriptive statistics

Standard deviation1.430323429
Coefficient of variation (CV)2.068325167
Kurtosis-0.0257063324
Mean0.6915370232
Median Absolute Deviation (MAD)1.047400421
Skewness0.4496222338
Sum8.298444278
Variance2.045825112
MonotonicityNot monotonic
2025-03-30T11:01:04.163840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2.00954591 1
8.3%
1.931253095 1
8.3%
0.0200179683 1
8.3%
1.245649564 1
8.3%
0.9303688912 1
8.3%
3.599466781 1
8.3%
-0.8479530566 1
8.3%
1.085898383 1
8.3%
0.7515196737 1
8.3%
-0.1635477471 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.288228656 1
8.3%
-0.9755465279 1
8.3%
-0.8479530566 1
8.3%
-0.1635477471 1
8.3%
0.0200179683 1
8.3%
ValueCountFrequency (%)
3.599466781 1
8.3%
2.00954591 1
8.3%
1.931253095 1
8.3%
1.245649564 1
8.3%
1.085898383 1
8.3%

usind2CRSPMEVT
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0080503131
Minimum-1.128460945
Maximum1.258709458
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:01:04.595908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.128460945
5-th percentile-1.034504941
Q1-0.485484778
median0.1624597831
Q30.4376302858
95-th percentile0.8997312627
Maximum1.258709458
Range2.387170403
Interquartile range (IQR)0.9231150639

Descriptive statistics

Standard deviation0.7035715396
Coefficient of variation (CV)87.39679201
Kurtosis-0.5309295721
Mean0.0080503131
Median Absolute Deviation (MAD)0.4265698118
Skewness-0.09568098725
Sum0.0966037572
Variance0.4950129114
MonotonicityNot monotonic
2025-03-30T11:01:05.056669image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.09300638371 1
8.3%
0.5242670968 1
8.3%
-1.128460945 1
8.3%
-0.6367839149 1
8.3%
-0.9576318475 1
8.3%
0.2319131826 1
8.3%
0.3789806905 1
8.3%
-0.4350517324 1
8.3%
-0.2471177937 1
8.3%
0.60602183 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.128460945 1
8.3%
-0.9576318475 1
8.3%
-0.6367839149 1
8.3%
-0.4350517324 1
8.3%
-0.2471177937 1
8.3%
ValueCountFrequency (%)
1.258709458 1
8.3%
0.60602183 1
8.3%
0.5242670968 1
8.3%
0.4087513489 1
8.3%
0.3789806905 1
8.3%

usind2CRSPMEGT
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09858398196
Minimum-1.213958118
Maximum1.457487512
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:01:05.496067image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.213958118
5-th percentile-1.055385196
Q1-0.5187498254
median0.2383754433
Q30.5617190559
95-th percentile1.066263422
Maximum1.457487512
Range2.67144563
Interquartile range (IQR)1.080468881

Descriptive statistics

Standard deviation0.7788293048
Coefficient of variation (CV)7.900160749
Kurtosis-0.4904020976
Mean0.09858398196
Median Absolute Deviation (MAD)0.4932923128
Skewness-0.1830641963
Sum1.183007784
Variance0.606575086
MonotonicityNot monotonic
2025-03-30T11:01:05.948918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.4751478672 1
8.3%
0.1458715652 1
8.3%
-0.925643715 1
8.3%
0.07127960568 1
8.3%
0.5099038986 1
8.3%
0.7171645277 1
8.3%
-1.213958118 1
8.3%
-0.6495556999 1
8.3%
0.3308793214 1
8.3%
0.7461709846 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.213958118 1
8.3%
-0.925643715 1
8.3%
-0.6495556999 1
8.3%
-0.4751478672 1
8.3%
0.07127960568 1
8.3%
ValueCountFrequency (%)
1.457487512 1
8.3%
0.7461709846 1
8.3%
0.7171645277 1
8.3%
0.5099038986 1
8.3%
0.4685557691 1
8.3%

usind2CRSPLCVT
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3220646276
Minimum-1.038090517
Maximum2.708461585
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:06.395740image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.038090517
5-th percentile-0.8196619124
Q1-0.4555378757
median-0.06095827037
Q30.829755945
95-th percentile2.360371412
Maximum2.708461585
Range3.746552102
Interquartile range (IQR)1.285293821

Descriptive statistics

Standard deviation1.189032478
Coefficient of variation (CV)3.691906458
Kurtosis-0.06346211942
Mean0.3220646276
Median Absolute Deviation (MAD)0.5753447299
Skewness1.039111634
Sum3.864775531
Variance1.413798235
MonotonicityNot monotonic
2025-03-30T11:01:06.879427image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.1252925156 1
8.3%
1.613581465 1
8.3%
2.708461585 1
8.3%
2.075570362 1
8.3%
-0.3968310339 1
8.3%
-1.038090517 1
8.3%
0.003375974892 1
8.3%
0.1173763632 1
8.3%
0.5684807718 1
8.3%
-0.6409475996 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.038090517 1
8.3%
-0.6409475996 1
8.3%
-0.631658401 1
8.3%
-0.3968310339 1
8.3%
-0.3892509236 1
8.3%
ValueCountFrequency (%)
2.708461585 1
8.3%
2.075570362 1
8.3%
1.613581465 1
8.3%
0.5684807718 1
8.3%
0.1173763632 1
8.3%

usind2CRSPLCGT
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03395867592
Minimum-1.316429006
Maximum1.591725852
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)66.7%
Memory size192.0 B
2025-03-30T11:01:07.375023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.316429006
5-th percentile-1.155346811
Q1-0.5826847989
median-0.3112764378
Q30.5558421855
95-th percentile1.552654069
Maximum1.591725852
Range2.908154858
Interquartile range (IQR)1.138526984

Descriptive statistics

Standard deviation0.9422360949
Coefficient of variation (CV)-27.74654987
Kurtosis-0.557271641
Mean-0.03395867592
Median Absolute Deviation (MAD)0.5850994757
Skewness0.6437220948
Sum-0.407504111
Variance0.8878088585
MonotonicityNot monotonic
2025-03-30T11:01:07.862600image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.4873164832 1
8.3%
-1.316429006 1
8.3%
-0.03958623346 1
8.3%
-0.5205132188 1
8.3%
-0.1524284816 1
8.3%
0.7614192924 1
8.3%
-1.023552287 1
8.3%
-0.4768188244 1
8.3%
1.591725852 1
8.3%
1.520686246 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.316429006 1
8.3%
-1.023552287 1
8.3%
-0.7691995394 1
8.3%
-0.5205132188 1
8.3%
-0.4768188244 1
8.3%
ValueCountFrequency (%)
1.591725852 1
8.3%
1.520686246 1
8.3%
0.7614192924 1
8.3%
0.4873164832 1
8.3%
-0.03958623346 1
8.3%

usind2CRSPMIVT
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3358229806
Minimum-0.511802466
Maximum1.831555067
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:01:08.316038image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.511802466
5-th percentile-0.4765005456
Q1-0.2063996159
median0.2092608299
Q30.598649111
95-th percentile1.571001647
Maximum1.831555067
Range2.343357533
Interquartile range (IQR)0.8050487268

Descriptive statistics

Standard deviation0.7157649981
Coefficient of variation (CV)2.131375872
Kurtosis0.3593209238
Mean0.3358229806
Median Absolute Deviation (MAD)0.4419002652
Skewness0.8698952896
Sum4.029875767
Variance0.5123195326
MonotonicityNot monotonic
2025-03-30T11:01:08.790564image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.4637561277 1
8.3%
0.7303441806 1
8.3%
0.1610421314 1
8.3%
0.5547507544 1
8.3%
0.1512317882 1
8.3%
1.357821575 1
8.3%
-0.4476171561 1
8.3%
1.831555067 1
8.3%
-0.1534563499 1
8.3%
0.2574795285 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.511802466 1
8.3%
-0.4476171561 1
8.3%
-0.3652294137 1
8.3%
-0.1534563499 1
8.3%
0.1512317882 1
8.3%
ValueCountFrequency (%)
1.831555067 1
8.3%
1.357821575 1
8.3%
0.7303441806 1
8.3%
0.5547507544 1
8.3%
0.4637561277 1
8.3%

usind2CRSPMIGT
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3032202245
Minimum-1.537953927
Maximum2.657511109
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:09.232530image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.537953927
5-th percentile-1.278482967
Q1-0.687661057
median0.1293606804
Q31.206066368
95-th percentile2.039032172
Maximum2.657511109
Range4.195465036
Interquartile range (IQR)1.893727425

Descriptive statistics

Standard deviation1.240911132
Coefficient of variation (CV)4.092441836
Kurtosis-0.5388468048
Mean0.3032202245
Median Absolute Deviation (MAD)0.9177196717
Skewness0.3566031195
Sum3.638642694
Variance1.539860439
MonotonicityNot monotonic
2025-03-30T11:01:09.674221image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.1750325383 1
8.3%
1.110506142 1
8.3%
-1.066188546 1
8.3%
-1.537953927 1
8.3%
0.7654983086 1
8.3%
-0.001339277286 1
8.3%
2.657511109 1
8.3%
1.533003951 1
8.3%
-0.7249332014 1
8.3%
0.2600606381 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.537953927 1
8.3%
-1.066188546 1
8.3%
-0.7249332014 1
8.3%
-0.6752370089 1
8.3%
-0.1750325383 1
8.3%
ValueCountFrequency (%)
2.657511109 1
8.3%
1.533003951 1
8.3%
1.492747044 1
8.3%
1.110506142 1
8.3%
0.7654983086 1
8.3%

usind2CRSPSCVT
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8082550207
Minimum-2.032320924
Maximum0.6821376663
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)75.0%
Memory size192.0 B
2025-03-30T11:01:10.106431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.032320924
5-th percentile-1.802589242
Q1-1.205929725
median-0.9860478175
Q3-0.5237608722
95-th percentile0.50741184
Maximum0.6821376663
Range2.714458591
Interquartile range (IQR)0.6821688525

Descriptive statistics

Standard deviation0.8023436877
Coefficient of variation (CV)-0.9926863022
Kurtosis-0.1707867918
Mean-0.8082550207
Median Absolute Deviation (MAD)0.3872943562
Skewness0.5845771254
Sum-9.699060248
Variance0.6437553932
MonotonicityNot monotonic
2025-03-30T11:01:10.646034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.3644543458 1
8.3%
-1.476844161 1
8.3%
-1.115624912 1
8.3%
-1.026494276 1
8.3%
-0.9759493309 1
8.3%
-0.9961463041 1
8.3%
0.01172285794 1
8.3%
-0.7022554489 1
8.3%
-2.032320924 1
8.3%
0.6821376663 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.032320924 1
8.3%
-1.614626957 1
8.3%
-1.476844161 1
8.3%
-1.115624912 1
8.3%
-1.026494276 1
8.3%
ValueCountFrequency (%)
0.6821376663 1
8.3%
0.3644543458 1
8.3%
0.01172285794 1
8.3%
-0.7022554489 1
8.3%
-0.8171128025 1
8.3%

usind2CRSPSCGT
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1964728189
Minimum-2.125094901
Maximum2.013295407
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:11.139571image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.125094901
5-th percentile-1.802947298
Q1-0.8600027061
median-0.4595971597
Q30.5794117196
95-th percentile1.519075964
Maximum2.013295407
Range4.138390308
Interquartile range (IQR)1.439414426

Descriptive statistics

Standard deviation1.186675242
Coefficient of variation (CV)-6.039895232
Kurtosis-0.354721772
Mean-0.1964728189
Median Absolute Deviation (MAD)0.8266002076
Skewness0.2703998865
Sum-2.357673827
Variance1.40819813
MonotonicityNot monotonic
2025-03-30T11:01:11.608675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.036731298 1
8.3%
-0.6167044624 1
8.3%
-2.125094901 1
8.3%
-0.6963096444 1
8.3%
0.8981053935 1
8.3%
-1.539371986 1
8.3%
-0.302489857 1
8.3%
-0.8010931756 1
8.3%
0.473180495 1
8.3%
1.114714602 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.125094901 1
8.3%
-1.539371986 1
8.3%
-1.036731298 1
8.3%
-0.8010931756 1
8.3%
-0.6963096444 1
8.3%
ValueCountFrequency (%)
2.013295407 1
8.3%
1.114714602 1
8.3%
0.8981053935 1
8.3%
0.473180495 1
8.3%
0.2608256006 1
8.3%

stockvwretd
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3287615436
Minimum-1.700804025
Maximum1.497296167
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)66.7%
Memory size192.0 B
2025-03-30T11:01:12.025362image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.700804025
5-th percentile-1.700106853
Q1-1.140809467
median-0.4789362503
Q30.59627271
95-th percentile1.297619439
Maximum1.497296167
Range3.198100192
Interquartile range (IQR)1.737082177

Descriptive statistics

Standard deviation1.089951123
Coefficient of variation (CV)-3.315324265
Kurtosis-1.089491073
Mean-0.3287615436
Median Absolute Deviation (MAD)0.8608709756
Skewness0.4247355155
Sum-3.945138524
Variance1.187993451
MonotonicityNot monotonic
2025-03-30T11:01:12.529222image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.134247571 1
8.3%
-1.69953644 1
8.3%
0.5060347225 1
8.3%
0.8669866725 1
8.3%
-0.4709916795 1
8.3%
-0.4402758996 1
8.3%
-0.4868808212 1
8.3%
-0.8196640162 1
8.3%
1.497296167 1
8.3%
-1.700804025 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.700804025 1
8.3%
-1.69953644 1
8.3%
-1.215707229 1
8.3%
-1.115843547 1
8.3%
-0.8196640162 1
8.3%
ValueCountFrequency (%)
1.497296167 1
8.3%
1.134247571 1
8.3%
0.8669866725 1
8.3%
0.5060347225 1
8.3%
-0.4402758996 1
8.3%

stockvwretx
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06914218285
Minimum-1.1436608
Maximum1.278687708
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:13.035245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.1436608
5-th percentile-1.073550942
Q1-0.7788450802
median-0.193708305
Q31.075969083
95-th percentile1.274616913
Maximum1.278687708
Range2.422348507
Interquartile range (IQR)1.854814163

Descriptive statistics

Standard deviation0.9346001738
Coefficient of variation (CV)13.51707648
Kurtosis-1.73621951
Mean0.06914218285
Median Absolute Deviation (MAD)0.7697778692
Skewness0.1784036982
Sum0.8297061942
Variance0.8734774849
MonotonicityNot monotonic
2025-03-30T11:01:13.513824image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.278687708 1
8.3%
-0.1211232406 1
8.3%
-0.3090579694 1
8.3%
-1.016188331 1
8.3%
1.271286262 1
8.3%
0.5233674077 1
8.3%
-0.2662933694 1
8.3%
1.060328069 1
8.3%
1.122892123 1
8.3%
-1.1436608 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.1436608 1
8.3%
-1.016188331 1
8.3%
-0.7981073384 1
8.3%
-0.7724243274 1
8.3%
-0.3090579694 1
8.3%
ValueCountFrequency (%)
1.278687708 1
8.3%
1.271286262 1
8.3%
1.122892123 1
8.3%
1.060328069 1
8.3%
0.5233674077 1
8.3%

stockvwTotVal
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4135795802
Minimum-1.568675188
Maximum1.846865915
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:13.982756image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.568675188
5-th percentile-1.453531928
Q1-1.104620868
median-0.7314639998
Q30.1365994515
95-th percentile1.132501337
Maximum1.846865915
Range3.415541104
Interquartile range (IQR)1.241220319

Descriptive statistics

Standard deviation0.9898744222
Coefficient of variation (CV)-2.393431566
Kurtosis1.013910967
Mean-0.4135795802
Median Absolute Deviation (MAD)0.6914500256
Skewness1.04199726
Sum-4.962954962
Variance0.9798513718
MonotonicityNot monotonic
2025-03-30T11:01:14.464945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.846865915 1
8.3%
0.1684093433 1
8.3%
-0.9160897071 1
8.3%
-0.7147321845 1
8.3%
-0.7481958151 1
8.3%
0.1259961543 1
8.3%
-1.024838163 1
8.3%
-1.343968982 1
8.3%
0.02357624443 1
8.3%
-1.359323807 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.568675188 1
8.3%
-1.359323807 1
8.3%
-1.343968982 1
8.3%
-1.024838163 1
8.3%
-0.9160897071 1
8.3%
ValueCountFrequency (%)
1.846865915 1
8.3%
0.5480212271 1
8.3%
0.1684093433 1
8.3%
0.1259961543 1
8.3%
0.02357624443 1
8.3%

stockvwUsdVal
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.169480164
Minimum-1.027315815
Maximum1.470990762
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:01:14.971196image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.027315815
5-th percentile-0.8711744834
Q1-0.6409205959
median0.07511487919
Q30.9423212596
95-th percentile1.430457576
Maximum1.470990762
Range2.498306577
Interquartile range (IQR)1.583241856

Descriptive statistics

Standard deviation0.9243161767
Coefficient of variation (CV)5.453831027
Kurtosis-1.580837192
Mean0.169480164
Median Absolute Deviation (MAD)0.7322118456
Skewness0.2758723882
Sum2.033761968
Variance0.8543603945
MonotonicityNot monotonic
2025-03-30T11:01:15.448302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.6618977162 1
8.3%
0.01853406982 1
8.3%
-1.027315815 1
8.3%
0.802525975 1
8.3%
-0.6339282225 1
8.3%
1.397294061 1
8.3%
0.5328082865 1
8.3%
-0.7434224851 1
8.3%
1.361707114 1
8.3%
1.470990762 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.027315815 1
8.3%
-0.7434224851 1
8.3%
-0.6618977162 1
8.3%
-0.6339282225 1
8.3%
-0.61522975 1
8.3%
ValueCountFrequency (%)
1.470990762 1
8.3%
1.397294061 1
8.3%
1.361707114 1
8.3%
0.802525975 1
8.3%
0.5328082865 1
8.3%

stockvwTotCnt
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2989023853
Minimum-2.814714699
Maximum0.8020333566
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:15.879190image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.814714699
5-th percentile-2.06656926
Q1-0.9521777692
median-0.06155942015
Q30.6117825565
95-th percentile0.7586090289
Maximum0.8020333566
Range3.616748056
Interquartile range (IQR)1.563960326

Descriptive statistics

Standard deviation1.08624278
Coefficient of variation (CV)-3.634105427
Kurtosis1.225890023
Mean-0.2989023853
Median Absolute Deviation (MAD)0.7521133263
Skewness-1.19889249
Sum-3.586828623
Variance1.179923378
MonotonicityNot monotonic
2025-03-30T11:01:16.350187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.9038804126 1
8.3%
-0.02339373725 1
8.3%
0.5963674824 1
8.3%
0.8020333566 1
8.3%
0.6580277789 1
8.3%
-0.09972510304 1
8.3%
-0.1028514241 1
8.3%
0.1297482052 1
8.3%
-1.097069839 1
8.3%
-2.814714699 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.814714699 1
8.3%
-1.454450264 1
8.3%
-1.097069839 1
8.3%
-0.9038804126 1
8.3%
-0.1028514241 1
8.3%
ValueCountFrequency (%)
0.8020333566 1
8.3%
0.7230800335 1
8.3%
0.6580277789 1
8.3%
0.5963674824 1
8.3%
0.1297482052 1
8.3%

stockvwUsdCnt
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08600638352
Minimum-1.76216565
Maximum1.70633062
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:16.811135image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.76216565
5-th percentile-1.643443711
Q1-0.6193994499
median0.003863438518
Q31.24344613
95-th percentile1.478271878
Maximum1.70633062
Range3.46849627
Interquartile range (IQR)1.86284558

Descriptive statistics

Standard deviation1.146682412
Coefficient of variation (CV)13.33252679
Kurtosis-1.105375856
Mean0.08600638352
Median Absolute Deviation (MAD)0.9539714885
Skewness-0.1675301663
Sum1.032076602
Variance1.314880555
MonotonicityNot monotonic
2025-03-30T11:01:17.424639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.6015017868 1
8.3%
-1.76216565 1
8.3%
-0.3954465388 1
8.3%
1.269232907 1
8.3%
0.5007712941 1
8.3%
1.70633062 1
8.3%
-0.6730924392 1
8.3%
-1.546307579 1
8.3%
1.291678361 1
8.3%
0.2470851871 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.76216565 1
8.3%
-1.546307579 1
8.3%
-0.6730924392 1
8.3%
-0.6015017868 1
8.3%
-0.3954465388 1
8.3%
ValueCountFrequency (%)
1.70633062 1
8.3%
1.291678361 1
8.3%
1.269232907 1
8.3%
1.234850538 1
8.3%
0.5007712941 1
8.3%

stockewretd
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2019517033
Minimum-1.630821407
Maximum1.755612385
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:17.971137image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.630821407
5-th percentile-1.503417303
Q1-1.077048981
median-0.1807344059
Q30.553475693
95-th percentile1.166722694
Maximum1.755612385
Range3.386433792
Interquartile range (IQR)1.630524674

Descriptive statistics

Standard deviation1.013647594
Coefficient of variation (CV)-5.019257463
Kurtosis-0.5038765836
Mean-0.2019517033
Median Absolute Deviation (MAD)0.8067209435
Skewness0.310318438
Sum-2.42342044
Variance1.027481445
MonotonicityNot monotonic
2025-03-30T11:01:18.437016image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.6849038565 1
8.3%
-0.6339598587 1
8.3%
-0.254019739 1
8.3%
1.755612385 1
8.3%
-1.165324832 1
8.3%
0.5489445178 1
8.3%
-1.047623698 1
8.3%
-1.399177581 1
8.3%
0.2584257708 1
8.3%
-1.630821407 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.630821407 1
8.3%
-1.399177581 1
8.3%
-1.165324832 1
8.3%
-1.047623698 1
8.3%
-0.6339598587 1
8.3%
ValueCountFrequency (%)
1.755612385 1
8.3%
0.6849038565 1
8.3%
0.5670692188 1
8.3%
0.5489445178 1
8.3%
0.2584257708 1
8.3%

stockewretx
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09890259189
Minimum-1.177112244
Maximum1.733934807
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:01:18.976208image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.177112244
5-th percentile-1.041789327
Q1-0.7227855871
median0.2281377632
Q30.5374207732
95-th percentile1.449825056
Maximum1.733934807
Range2.911047051
Interquartile range (IQR)1.26020636

Descriptive statistics

Standard deviation0.9102428315
Coefficient of variation (CV)9.203427475
Kurtosis-0.7627085515
Mean0.09890259189
Median Absolute Deviation (MAD)0.8240177147
Skewness0.2800379174
Sum1.186831103
Variance0.8285420124
MonotonicityNot monotonic
2025-03-30T11:01:19.567259image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.2347303024 1
8.3%
-0.2076772666 1
8.3%
1.733934807 1
8.3%
-0.8482327702 1
8.3%
0.2215452239 1
8.3%
0.96706557 1
8.3%
-0.9310705763 1
8.3%
-1.177112244 1
8.3%
-0.6809698594 1
8.3%
1.217371624 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.177112244 1
8.3%
-0.9310705763 1
8.3%
-0.8482327702 1
8.3%
-0.6809698594 1
8.3%
-0.2076772666 1
8.3%
ValueCountFrequency (%)
1.733934807 1
8.3%
1.217371624 1
8.3%
0.96706557 1
8.3%
0.394205841 1
8.3%
0.2630404513 1
8.3%

stockewTotVal
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1374707709
Minimum-2.188043004
Maximum1.543838307
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:20.097374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.188043004
5-th percentile-1.324067882
Q1-0.4557461007
median0.2185083299
Q30.8961982717
95-th percentile1.32090424
Maximum1.543838307
Range3.731881311
Interquartile range (IQR)1.351944372

Descriptive statistics

Standard deviation1.029905358
Coefficient of variation (CV)7.491813357
Kurtosis0.9829002518
Mean0.1374707709
Median Absolute Deviation (MAD)0.68290408
Skewness-0.8447398121
Sum1.649649251
Variance1.060705046
MonotonicityNot monotonic
2025-03-30T11:01:20.597968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.4470964513 1
8.3%
0.8499944145 1
8.3%
-0.03716632121 1
8.3%
-0.4816950487 1
8.3%
1.543838307 1
8.3%
0.4741829811 1
8.3%
0.7011091248 1
8.3%
-0.617179146 1
8.3%
1.13850364 1
8.3%
-2.188043004 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.188043004 1
8.3%
-0.617179146 1
8.3%
-0.4816950487 1
8.3%
-0.4470964513 1
8.3%
-0.3216090875 1
8.3%
ValueCountFrequency (%)
1.543838307 1
8.3%
1.13850364 1
8.3%
1.034809843 1
8.3%
0.8499944145 1
8.3%
0.7011091248 1
8.3%

stockewUsdVal
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1255876669
Minimum-0.9397971112
Maximum1.776451131
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:01:21.193155image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9397971112
5-th percentile-0.9375192483
Q1-0.5248074103
median0.1244805503
Q30.4561574028
95-th percentile1.530129014
Maximum1.776451131
Range2.716248242
Interquartile range (IQR)0.9809648131

Descriptive statistics

Standard deviation0.8969033936
Coefficient of variation (CV)7.141651848
Kurtosis-0.6506169651
Mean0.1255876669
Median Absolute Deviation (MAD)0.6691805286
Skewness0.6354325589
Sum1.507052003
Variance0.8044356974
MonotonicityNot monotonic
2025-03-30T11:01:21.694639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.9397971112 1
8.3%
-0.9356555423 1
8.3%
0.05388742189 1
8.3%
-0.5844851144 1
8.3%
0.196827222 1
8.3%
-0.5049148423 1
8.3%
0.2126460762 1
8.3%
-0.4782650357 1
8.3%
1.186691383 1
8.3%
1.776451131 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.9397971112 1
8.3%
-0.9356555423 1
8.3%
-0.5844851144 1
8.3%
-0.5049148423 1
8.3%
-0.4782650357 1
8.3%
ValueCountFrequency (%)
1.776451131 1
8.3%
1.328592737 1
8.3%
1.186691383 1
8.3%
0.2126460762 1
8.3%
0.196827222 1
8.3%

stockewTotCnt
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2924146194
Minimum-1.370701583
Maximum1.6649907
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:01:22.172713image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.370701583
5-th percentile-1.30669422
Q1-0.2996147011
median0.5728658633
Q30.9367539402
95-th percentile1.41674616
Maximum1.6649907
Range3.035692283
Interquartile range (IQR)1.236368641

Descriptive statistics

Standard deviation0.9947973772
Coefficient of variation (CV)3.402009719
Kurtosis-0.7331659105
Mean0.2924146194
Median Absolute Deviation (MAD)0.5827886854
Skewness-0.6637764592
Sum3.508975433
Variance0.9896218217
MonotonicityNot monotonic
2025-03-30T11:01:22.677754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.0880721491 1
8.3%
0.4728831352 1
8.3%
0.6782868707 1
8.3%
0.8831145517 1
8.3%
1.213636992 1
8.3%
1.097672106 1
8.3%
-1.254324559 1
8.3%
-1.370701583 1
8.3%
0.6409506083 1
8.3%
1.6649907 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.370701583 1
8.3%
-1.254324559 1
8.3%
-0.9342423571 1
8.3%
-0.0880721491 1
8.3%
0.4728831352 1
8.3%
ValueCountFrequency (%)
1.6649907 1
8.3%
1.213636992 1
8.3%
1.097672106 1
8.3%
0.8831145517 1
8.3%
0.6782868707 1
8.3%

stockewUsdCnt
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06892427286
Minimum-1.184923207
Maximum1.391805892
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:01:23.159237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.184923207
5-th percentile-1.184545943
Q1-0.828942592
median0.5128102276
Q30.6824368196
95-th percentile1.181917488
Maximum1.391805892
Range2.576729099
Interquartile range (IQR)1.511379412

Descriptive statistics

Standard deviation0.9304772271
Coefficient of variation (CV)13.49999338
Kurtosis-1.667184547
Mean0.06892427286
Median Absolute Deviation (MAD)0.6881880243
Skewness-0.2610763045
Sum0.8270912743
Variance0.8657878702
MonotonicityNot monotonic
2025-03-30T11:01:23.659671image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.184237272 1
8.3%
0.5086697666 1
8.3%
0.7449533884 1
8.3%
1.391805892 1
8.3%
0.6540238606 1
8.3%
-1.0049053 1
8.3%
0.5169506886 1
8.3%
-1.184923207 1
8.3%
-0.770288356 1
8.3%
0.6615979633 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.184923207 1
8.3%
-1.184237272 1
8.3%
-1.0049053 1
8.3%
-0.770288356 1
8.3%
-0.5167467621 1
8.3%
ValueCountFrequency (%)
1.391805892 1
8.3%
1.010190612 1
8.3%
0.7449533884 1
8.3%
0.6615979633 1
8.3%
0.6540238606 1
8.3%

stocksprtrn
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02084234589
Minimum-2.041389325
Maximum2.344669895
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:24.095445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.041389325
5-th percentile-1.784506286
Q1-0.9555341119
median-0.3360768011
Q31.231216882
95-th percentile2.295096309
Maximum2.344669895
Range4.38605922
Interquartile range (IQR)2.186750994

Descriptive statistics

Standard deviation1.462598862
Coefficient of variation (CV)70.17438774
Kurtosis-1.052612182
Mean0.02084234589
Median Absolute Deviation (MAD)0.9529342075
Skewness0.4204305343
Sum0.2501081507
Variance2.139195431
MonotonicityNot monotonic
2025-03-30T11:01:24.519348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.2268190893 1
8.3%
-0.9394812281 1
8.3%
2.254536102 1
8.3%
-0.9043781802 1
8.3%
2.344669895 1
8.3%
-2.041389325 1
8.3%
-1.574329254 1
8.3%
1.182680055 1
8.3%
1.376827362 1
8.3%
-0.2125499134 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.041389325 1
8.3%
-1.574329254 1
8.3%
-1.003692763 1
8.3%
-0.9394812281 1
8.3%
-0.9043781802 1
8.3%
ValueCountFrequency (%)
2.344669895 1
8.3%
2.254536102 1
8.3%
1.376827362 1
8.3%
1.182680055 1
8.3%
0.2268190893 1
8.3%

ustreb30ret
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2824791343
Minimum-0.820228516
Maximum1.792402065
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:24.940092image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.820228516
5-th percentile-0.5887966372
Q1-0.2433928674
median0.09009862276
Q30.6336862576
95-th percentile1.540463434
Maximum1.792402065
Range2.612630581
Interquartile range (IQR)0.877079125

Descriptive statistics

Standard deviation0.7808279585
Coefficient of variation (CV)2.76419694
Kurtosis-0.3284160246
Mean0.2824791343
Median Absolute Deviation (MAD)0.3941094244
Skewness0.6810266309
Sum3.389749611
Variance0.6096923008
MonotonicityNot monotonic
2025-03-30T11:01:25.353403image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.3994432819 1
8.3%
-0.2403090681 1
8.3%
0.4789115933 1
8.3%
1.334331827 1
8.3%
0.4895045009 1
8.3%
1.792402065 1
8.3%
1.066231528 1
8.3%
-0.2392040174 1
8.3%
-0.04741538103 1
8.3%
-0.820228516 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.820228516 1
8.3%
-0.3994432819 1
8.3%
-0.2526442652 1
8.3%
-0.2403090681 1
8.3%
-0.2392040174 1
8.3%
ValueCountFrequency (%)
1.792402065 1
8.3%
1.334331827 1
8.3%
1.066231528 1
8.3%
0.4895045009 1
8.3%
0.4789115933 1
8.3%

ustreb30ind
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1347092871
Minimum-1.645716285
Maximum1.066305567
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:01:25.767226image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.645716285
5-th percentile-1.395740367
Q1-1.029994147
median0.1999282902
Q30.510902626
95-th percentile1.006944143
Maximum1.066305567
Range2.712021852
Interquartile range (IQR)1.540896773

Descriptive statistics

Standard deviation0.9312591154
Coefficient of variation (CV)-6.913102543
Kurtosis-1.502352173
Mean-0.1347092871
Median Absolute Deviation (MAD)0.8124123458
Skewness-0.3084296881
Sum-1.616511446
Variance0.8672435401
MonotonicityNot monotonic
2025-03-30T11:01:26.217404image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.173220163 1
8.3%
-0.6872025238 1
8.3%
0.4650818491 1
8.3%
-1.191214617 1
8.3%
0.9583757046 1
8.3%
0.455515005 1
8.3%
-1.068828231 1
8.3%
1.066305567 1
8.3%
0.2266364175 1
8.3%
-1.017049453 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.645716285 1
8.3%
-1.191214617 1
8.3%
-1.068828231 1
8.3%
-1.017049453 1
8.3%
-0.6872025238 1
8.3%
ValueCountFrequency (%)
1.066305567 1
8.3%
0.9583757046 1
8.3%
0.6483649564 1
8.3%
0.4650818491 1
8.3%
0.455515005 1
8.3%

ustreb20ret
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2574038337
Minimum-1.425515371
Maximum1.087455739
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:26.643453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.425515371
5-th percentile-1.315079008
Q1-0.9039882463
median-0.1598795401
Q30.2317108093
95-th percentile0.8293674173
Maximum1.087455739
Range2.51297111
Interquartile range (IQR)1.135699056

Descriptive statistics

Standard deviation0.7920677147
Coefficient of variation (CV)-3.077140318
Kurtosis-1.08483745
Mean-0.2574038337
Median Absolute Deviation (MAD)0.6064863625
Skewness0.06057811337
Sum-3.088846004
Variance0.6273712647
MonotonicityNot monotonic
2025-03-30T11:01:27.106143image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.6584460385 1
8.3%
-1.425515371 1
8.3%
-1.224721984 1
8.3%
-1.04365935 1
8.3%
0.190433908 1
8.3%
1.087455739 1
8.3%
-0.8574312117 1
8.3%
0.05446554483 1
8.3%
0.3555415133 1
8.3%
0.189051626 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.425515371 1
8.3%
-1.224721984 1
8.3%
-1.04365935 1
8.3%
-0.8574312117 1
8.3%
-0.6584460385 1
8.3%
ValueCountFrequency (%)
1.087455739 1
8.3%
0.6182042452 1
8.3%
0.3555415133 1
8.3%
0.190433908 1
8.3%
0.189051626 1
8.3%

ustreb20ind
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1387718935
Minimum-1.073337858
Maximum0.8709232921
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)66.7%
Memory size192.0 B
2025-03-30T11:01:28.098549image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.073337858
5-th percentile-1.002321229
Q1-0.3079662026
median-0.2034756165
Q30.2221709834
95-th percentile0.6147673575
Maximum0.8709232921
Range1.94426115
Interquartile range (IQR)0.530137186

Descriptive statistics

Standard deviation0.5423586884
Coefficient of variation (CV)-3.908274757
Kurtosis0.277732707
Mean-0.1387718935
Median Absolute Deviation (MAD)0.2524870265
Skewness-0.02123959416
Sum-1.665262722
Variance0.2941529469
MonotonicityNot monotonic
2025-03-30T11:01:28.522710image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.073337858 1
8.3%
-0.1783664247 1
8.3%
-0.2579397039 1
8.3%
-0.3059144877 1
8.3%
-0.1458684213 1
8.3%
0.3161258164 1
8.3%
0.4051852293 1
8.3%
-0.2285848083 1
8.3%
-0.9442167143 1
8.3%
-0.3141213473 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.073337858 1
8.3%
-0.9442167143 1
8.3%
-0.3141213473 1
8.3%
-0.3059144877 1
8.3%
-0.2579397039 1
8.3%
ValueCountFrequency (%)
0.8709232921 1
8.3%
0.4051852293 1
8.3%
0.3161258164 1
8.3%
0.1908527058 1
8.3%
-0.1458684213 1
8.3%

ustreb10ret
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04890344596
Minimum-1.055193473
Maximum0.8916634698
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:01:29.026901image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.055193473
5-th percentile-0.9850228115
Q1-0.3632374318
median0.05493507337
Q30.3577872031
95-th percentile0.6451406826
Maximum0.8916634698
Range1.946856943
Interquartile range (IQR)0.7210246349

Descriptive statistics

Standard deviation0.5686958454
Coefficient of variation (CV)-11.6289524
Kurtosis-0.1754981992
Mean-0.04890344596
Median Absolute Deviation (MAD)0.3630767929
Skewness-0.4047578342
Sum-0.5868413515
Variance0.3234149646
MonotonicityNot monotonic
2025-03-30T11:01:29.519750image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.09519325907 1
8.3%
0.09016738326 1
8.3%
-0.3319251933 1
8.3%
0.3942283925 1
8.3%
0.4434402204 1
8.3%
-0.4571741471 1
8.3%
0.01970276348 1
8.3%
-1.055193473 1
8.3%
0.3456401399 1
8.3%
-0.09497371411 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.055193473 1
8.3%
-0.9276104519 1
8.3%
-0.4571741471 1
8.3%
-0.3319251933 1
8.3%
-0.09497371411 1
8.3%
ValueCountFrequency (%)
0.8916634698 1
8.3%
0.4434402204 1
8.3%
0.3942283925 1
8.3%
0.3456401399 1
8.3%
0.09519325907 1
8.3%

ustreb10ind
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2165935915
Minimum-2.805741419
Maximum1.288898506
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:29.990259image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.805741419
5-th percentile-2.547801284
Q1-0.6639060221
median-0.01244078984
Q30.5830396771
95-th percentile1.266611328
Maximum1.288898506
Range4.094639926
Interquartile range (IQR)1.246945699

Descriptive statistics

Standard deviation1.307730669
Coefficient of variation (CV)-6.03771635
Kurtosis0.185638261
Mean-0.2165935915
Median Absolute Deviation (MAD)0.7301240973
Skewness-0.877428549
Sum-2.599123098
Variance1.710159502
MonotonicityNot monotonic
2025-03-30T11:01:30.436463image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-2.805741419 1
8.3%
1.085409589 1
8.3%
-0.899882617 1
8.3%
0.09863469141 1
8.3%
0.3910645002 1
8.3%
-0.3759429693 1
8.3%
-2.336759355 1
8.3%
1.288898506 1
8.3%
-0.5852471571 1
8.3%
0.4155830398 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.805741419 1
8.3%
-2.336759355 1
8.3%
-0.899882617 1
8.3%
-0.5852471571 1
8.3%
-0.3759429693 1
8.3%
ValueCountFrequency (%)
1.288898506 1
8.3%
1.248376364 1
8.3%
1.085409589 1
8.3%
0.4155830398 1
8.3%
0.3910645002 1
8.3%

ustreb7ret
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06566188137
Minimum-1.280787817
Maximum1.154214892
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:01:30.877794image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.280787817
5-th percentile-1.047008812
Q1-0.3997726955
median0.07215317137
Q30.6049270109
95-th percentile1.14122197
Maximum1.154214892
Range2.435002709
Interquartile range (IQR)1.004699706

Descriptive statistics

Standard deviation0.7629488935
Coefficient of variation (CV)11.6193578
Kurtosis-0.6430928098
Mean0.06566188137
Median Absolute Deviation (MAD)0.5746755539
Skewness-0.1435679732
Sum0.7879425764
Variance0.582091014
MonotonicityNot monotonic
2025-03-30T11:01:31.327893image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.6127045294 1
8.3%
-0.0739638454 1
8.3%
-1.280787817 1
8.3%
-0.3287954176 1
8.3%
1.154214892 1
8.3%
-0.8557350803 1
8.3%
0.5366465785 1
8.3%
0.8097683083 1
8.3%
0.04521076756 1
8.3%
0.1644017462 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.280787817 1
8.3%
-0.8557350803 1
8.3%
-0.6127045294 1
8.3%
-0.3287954176 1
8.3%
-0.0739638454 1
8.3%
ValueCountFrequency (%)
1.154214892 1
8.3%
1.130591398 1
8.3%
0.8097683083 1
8.3%
0.5366465785 1
8.3%
0.1644017462 1
8.3%

ustreb7ind
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04681862067
Minimum-2.763713825
Maximum1.611114982
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:31.713037image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.763713825
5-th percentile-1.954477721
Q1-0.5760641618
median-0.2554308463
Q30.974701334
95-th percentile1.507969754
Maximum1.611114982
Range4.374828808
Interquartile range (IQR)1.550765496

Descriptive statistics

Standard deviation1.281721721
Coefficient of variation (CV)-27.37632384
Kurtosis0.2388508439
Mean-0.04681862067
Median Absolute Deviation (MAD)1.02036114
Skewness-0.6409847927
Sum-0.5618234481
Variance1.642810571
MonotonicityNot monotonic
2025-03-30T11:01:32.094466image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.10117767 1
8.3%
0.7483468269 1
8.3%
-1.034610747 1
8.3%
-0.3532951351 1
8.3%
-2.763713825 1
8.3%
-1.292375454 1
8.3%
0.9325425553 1
8.3%
-0.1575665576 1
8.3%
-0.3538066665 1
8.3%
1.423578203 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.763713825 1
8.3%
-1.292375454 1
8.3%
-1.034610747 1
8.3%
-0.4232152999 1
8.3%
-0.3538066665 1
8.3%
ValueCountFrequency (%)
1.611114982 1
8.3%
1.423578203 1
8.3%
1.10117767 1
8.3%
0.9325425553 1
8.3%
0.7483468269 1
8.3%

ustreb5ret
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6798783316
Minimum-1.289050005
Maximum1.977126521
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)16.7%
Memory size192.0 B
2025-03-30T11:01:32.492027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.289050005
5-th percentile-1.105084965
Q10.5399287523
median0.9998320609
Q31.170236452
95-th percentile1.769073788
Maximum1.977126521
Range3.266176525
Interquartile range (IQR)0.6303076996

Descriptive statistics

Standard deviation0.9665830007
Coefficient of variation (CV)1.421699966
Kurtosis0.6639438799
Mean0.6798783316
Median Absolute Deviation (MAD)0.2885560843
Skewness-1.081573501
Sum8.158539979
Variance0.9342826973
MonotonicityNot monotonic
2025-03-30T11:01:32.906546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.004872269 1
8.3%
0.9947918527 1
8.3%
0.7183693079 1
8.3%
-0.9545681148 1
8.3%
1.977126521 1
8.3%
0.7041826453 1
8.3%
-1.289050005 1
8.3%
0.04716707326 1
8.3%
1.01514384 1
8.3%
1.169645022 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.289050005 1
8.3%
-0.9545681148 1
8.3%
0.04716707326 1
8.3%
0.7041826453 1
8.3%
0.7183693079 1
8.3%
ValueCountFrequency (%)
1.977126521 1
8.3%
1.598848826 1
8.3%
1.172010741 1
8.3%
1.169645022 1
8.3%
1.01514384 1
8.3%

ustreb5ind
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.157533565
Minimum-0.9599990573
Maximum1.243875041
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:33.337044image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9599990573
5-th percentile-0.9315049785
Q1-0.8212642577
median-0.1877068358
Q30.3355832591
95-th percentile0.8703183557
Maximum1.243875041
Range2.203874098
Interquartile range (IQR)1.156847517

Descriptive statistics

Standard deviation0.7173100592
Coefficient of variation (CV)-4.553379206
Kurtosis-0.7430789209
Mean-0.157533565
Median Absolute Deviation (MAD)0.6078842642
Skewness0.5116723587
Sum-1.89040278
Variance0.514533721
MonotonicityNot monotonic
2025-03-30T11:01:33.753087image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.814037123 1
8.3%
-0.9081916413 1
8.3%
0.03854673389 1
8.3%
0.5646810681 1
8.3%
0.313533877 1
8.3%
-0.4139604055 1
8.3%
-0.7082089976 1
8.3%
0.1945719809 1
8.3%
0.4017314054 1
8.3%
-0.9599990573 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.9599990573 1
8.3%
-0.9081916413 1
8.3%
-0.8429456616 1
8.3%
-0.814037123 1
8.3%
-0.7082089976 1
8.3%
ValueCountFrequency (%)
1.243875041 1
8.3%
0.5646810681 1
8.3%
0.4017314054 1
8.3%
0.313533877 1
8.3%
0.1945719809 1
8.3%

ustreb2ret
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1800254193
Minimum-1.599422569
Maximum2.531247233
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:34.133767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.599422569
5-th percentile-1.285854882
Q1-0.5040063146
median0.01091893651
Q30.8411550136
95-th percentile1.914740531
Maximum2.531247233
Range4.130669802
Interquartile range (IQR)1.345161328

Descriptive statistics

Standard deviation1.147742882
Coefficient of variation (CV)6.375449017
Kurtosis0.2362203549
Mean0.1800254193
Median Absolute Deviation (MAD)0.8528095485
Skewness0.4825971734
Sum2.160305031
Variance1.317313724
MonotonicityNot monotonic
2025-03-30T11:01:34.517268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.029299502 1
8.3%
1.410325956 1
8.3%
2.531247233 1
8.3%
-1.599422569 1
8.3%
0.1586779064 1
8.3%
-0.1368400334 1
8.3%
0.8054578636 1
8.3%
0.9482464636 1
8.3%
-0.9001612335 1
8.3%
0.5366117254 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.599422569 1
8.3%
-1.029299502 1
8.3%
-0.9001612335 1
8.3%
-0.3719546749 1
8.3%
-0.1925841045 1
8.3%
ValueCountFrequency (%)
2.531247233 1
8.3%
1.410325956 1
8.3%
0.9482464636 1
8.3%
0.8054578636 1
8.3%
0.5366117254 1
8.3%

ustreb2ind
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07185467387
Minimum-1.18450853
Maximum1.912343932
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)66.7%
Memory size192.0 B
2025-03-30T11:01:34.884210image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.18450853
5-th percentile-0.8614856768
Q1-0.5000196774
median-0.1070565078
Q30.2927075204
95-th percentile1.739137619
Maximum1.912343932
Range3.096852462
Interquartile range (IQR)0.7927271978

Descriptive statistics

Standard deviation0.9056275966
Coefficient of variation (CV)12.6036004
Kurtosis0.6434043449
Mean0.07185467387
Median Absolute Deviation (MAD)0.4159387812
Skewness1.047545215
Sum0.8622560864
Variance0.8201613437
MonotonicityNot monotonic
2025-03-30T11:01:35.313410image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.4770440658 1
8.3%
-0.08323271027 1
8.3%
-0.03539292513 1
8.3%
-1.18450853 1
8.3%
-0.3658662807 1
8.3%
0.1876378544 1
8.3%
-0.5971942513 1
8.3%
1.597423363 1
8.3%
-0.5689465123 1
8.3%
1.912343932 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.18450853 1
8.3%
-0.5971942513 1
8.3%
-0.5689465123 1
8.3%
-0.4770440658 1
8.3%
-0.3658662807 1
8.3%
ValueCountFrequency (%)
1.912343932 1
8.3%
1.597423363 1
8.3%
0.6079165184 1
8.3%
0.1876378544 1
8.3%
-0.03539292513 1
8.3%

ustreb1ret
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5498699726
Minimum-1.708034858
Maximum2.191736186
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:01:35.743941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.708034858
5-th percentile-1.367585362
Q1-0.6074442206
median1.026324532
Q31.547710211
95-th percentile2.119064155
Maximum2.191736186
Range3.899771044
Interquartile range (IQR)2.155154432

Descriptive statistics

Standard deviation1.342805019
Coefficient of variation (CV)2.442041002
Kurtosis-1.335875477
Mean0.5498699726
Median Absolute Deviation (MAD)1.013555008
Skewness-0.4527556811
Sum6.598439671
Variance1.803125318
MonotonicityNot monotonic
2025-03-30T11:01:36.167464image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.8548990367 1
8.3%
-1.708034858 1
8.3%
1.572208881 1
8.3%
-0.471917834 1
8.3%
1.539543988 1
8.3%
0.03249520479 1
8.3%
2.05960522 1
8.3%
1.433212975 1
8.3%
-1.089035776 1
8.3%
-1.01402338 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.708034858 1
8.3%
-1.089035776 1
8.3%
-1.01402338 1
8.3%
-0.471917834 1
8.3%
0.03249520479 1
8.3%
ValueCountFrequency (%)
2.191736186 1
8.3%
2.05960522 1
8.3%
1.572208881 1
8.3%
1.539543988 1
8.3%
1.433212975 1
8.3%

ustreb1ind
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1113345595
Minimum-1.374274556
Maximum1.391782952
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:01:36.577627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.374274556
5-th percentile-1.061160163
Q1-0.4474420641
median0.2747201502
Q30.4704574295
95-th percentile1.320518913
Maximum1.391782952
Range2.766057507
Interquartile range (IQR)0.9178994937

Descriptive statistics

Standard deviation0.8203537749
Coefficient of variation (CV)7.368365927
Kurtosis-0.3645139805
Mean0.1113345595
Median Absolute Deviation (MAD)0.5054774013
Skewness-0.1681846349
Sum1.336014714
Variance0.6729803161
MonotonicityNot monotonic
2025-03-30T11:01:36.972703image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.3698512114 1
8.3%
0.4261292776 1
8.3%
1.391782952 1
8.3%
0.4272000835 1
8.3%
-0.6802146223 1
8.3%
-0.8049756593 1
8.3%
-0.09166329085 1
8.3%
-1.374274556 1
8.3%
0.2474708108 1
8.3%
1.262211973 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.374274556 1
8.3%
-0.8049756593 1
8.3%
-0.6802146223 1
8.3%
-0.3698512114 1
8.3%
-0.09166329085 1
8.3%
ValueCountFrequency (%)
1.391782952 1
8.3%
1.262211973 1
8.3%
0.6002294676 1
8.3%
0.4272000835 1
8.3%
0.4261292776 1
8.3%

ustret90ret
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07922226365
Minimum-1.892644852
Maximum1.436759121
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:01:37.402073image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.892644852
5-th percentile-1.26898746
Q1-0.3719183684
median0.150413297
Q30.5932364778
95-th percentile1.315586895
Maximum1.436759121
Range3.329403973
Interquartile range (IQR)0.9651548461

Descriptive statistics

Standard deviation0.9159482959
Coefficient of variation (CV)11.56175365
Kurtosis0.6968178918
Mean0.07922226365
Median Absolute Deviation (MAD)0.4502343086
Skewness-0.6059375535
Sum0.9506671638
Variance0.8389612807
MonotonicityNot monotonic
2025-03-30T11:01:37.841573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.5964406015 1
8.3%
0.1715941621 1
8.3%
-0.2377527381 1
8.3%
0.6033909932 1
8.3%
-0.758722321 1
8.3%
0.129232432 1
8.3%
0.5898516393 1
8.3%
1.216445983 1
8.3%
0.5860309702 1
8.3%
-1.892644852 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.892644852 1
8.3%
-0.758722321 1
8.3%
-0.5964406015 1
8.3%
-0.297077624 1
8.3%
-0.2377527381 1
8.3%
ValueCountFrequency (%)
1.436759121 1
8.3%
1.216445983 1
8.3%
0.6033909932 1
8.3%
0.5898516393 1
8.3%
0.5860309702 1
8.3%

ustret90ind
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1846897715
Minimum-2.025556195
Maximum1.907195727
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:38.277898image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.025556195
5-th percentile-1.701216352
Q1-0.9710230811
median-0.2644039422
Q30.5587559452
95-th percentile1.507569455
Maximum1.907195727
Range3.932751922
Interquartile range (IQR)1.529779026

Descriptive statistics

Standard deviation1.170174443
Coefficient of variation (CV)-6.335891983
Kurtosis-0.7476286573
Mean-0.1846897715
Median Absolute Deviation (MAD)0.8453260653
Skewness0.1902159813
Sum-2.216277258
Variance1.369308227
MonotonicityNot monotonic
2025-03-30T11:01:38.740147image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.907195727 1
8.3%
-1.250095477 1
8.3%
0.177023129 1
8.3%
-0.7541154154 1
8.3%
0.5365897673 1
8.3%
-0.8779989492 1
8.3%
-1.435847389 1
8.3%
-0.7058310134 1
8.3%
0.6252544788 1
8.3%
-2.025556195 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.025556195 1
8.3%
-1.435847389 1
8.3%
-1.250095477 1
8.3%
-0.8779989492 1
8.3%
-0.7541154154 1
8.3%
ValueCountFrequency (%)
1.907195727 1
8.3%
1.180602506 1
8.3%
0.6252544788 1
8.3%
0.5365897673 1
8.3%
0.4065015726 1
8.3%

ustret30ret
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1782496267
Minimum-1.818143552
Maximum0.9194709745
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)66.7%
Memory size192.0 B
2025-03-30T11:01:39.164269image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.818143552
5-th percentile-1.372897523
Q1-0.746864585
median-0.06191615784
Q30.4962862833
95-th percentile0.7725577524
Maximum0.9194709745
Range2.737614526
Interquartile range (IQR)1.243150868

Descriptive statistics

Standard deviation0.8067688667
Coefficient of variation (CV)-4.526062028
Kurtosis-0.1078943861
Mean-0.1782496267
Median Absolute Deviation (MAD)0.615065988
Skewness-0.6256718278
Sum-2.13899552
Variance0.6508760042
MonotonicityNot monotonic
2025-03-30T11:01:39.554543image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.0260135124 1
8.3%
-0.9646002102 1
8.3%
0.6523560251 1
8.3%
-1.818143552 1
8.3%
0.5558459327 1
8.3%
0.4764330669 1
8.3%
0.9194709745 1
8.3%
-0.03655923879 1
8.3%
-0.08727307689 1
8.3%
-1.008605318 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.818143552 1
8.3%
-1.008605318 1
8.3%
-0.9646002102 1
8.3%
-0.6742860432 1
8.3%
-0.1276205684 1
8.3%
ValueCountFrequency (%)
0.9194709745 1
8.3%
0.6523560251 1
8.3%
0.5558459327 1
8.3%
0.4764330669 1
8.3%
-0.0260135124 1
8.3%

ustret30ind
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3902874368
Minimum-1.930938982
Maximum2.296383246
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)83.3%
Memory size192.0 B
2025-03-30T11:01:39.967773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.930938982
5-th percentile-1.674951463
Q1-1.117853781
median-0.3507033749
Q3-0.1095712414
95-th percentile1.305702948
Maximum2.296383246
Range4.227322228
Interquartile range (IQR)1.008282539

Descriptive statistics

Standard deviation1.086149372
Coefficient of variation (CV)-2.78294731
Kurtosis2.803590923
Mean-0.3902874368
Median Absolute Deviation (MAD)0.5353142192
Skewness1.220779723
Sum-4.683449241
Variance1.179720459
MonotonicityNot monotonic
2025-03-30T11:01:40.383862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.1148167249 1
8.3%
-0.3993080991 1
8.3%
-0.3020986507 1
8.3%
2.296383246 1
8.3%
-1.202923546 1
8.3%
0.495146341 1
8.3%
-1.930938982 1
8.3%
-1.089497192 1
8.3%
-0.6825379961 1
8.3%
-1.465507129 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.930938982 1
8.3%
-1.465507129 1
8.3%
-1.202923546 1
8.3%
-1.089497192 1
8.3%
-0.6825379961 1
8.3%
ValueCountFrequency (%)
2.296383246 1
8.3%
0.495146341 1
8.3%
-0.09383479098 1
8.3%
-0.1148167249 1
8.3%
-0.1935157175 1
8.3%

ustrecpiret
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.236691287
Minimum-1.528224853
Maximum0.9768357469
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)66.7%
Memory size192.0 B
2025-03-30T11:01:40.802898image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.528224853
5-th percentile-1.305257549
Q1-0.7439634654
median-0.1127967604
Q30.242141084
95-th percentile0.8537315427
Maximum0.9768357469
Range2.5050606
Interquartile range (IQR)0.9861045493

Descriptive statistics

Standard deviation0.7572740185
Coefficient of variation (CV)-3.19941654
Kurtosis-0.7130775111
Mean-0.236691287
Median Absolute Deviation (MAD)0.5510455635
Skewness-0.05945576684
Sum-2.840295444
Variance0.5734639392
MonotonicityNot monotonic
2025-03-30T11:01:41.234244image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.06929765352 1
8.3%
0.2102285916 1
8.3%
0.3378785611 1
8.3%
-0.1562958673 1
8.3%
-1.122829754 1
8.3%
-1.528224853 1
8.3%
0.7530099211 1
8.3%
-0.6954196543 1
8.3%
0.9768357469 1
8.3%
-0.02432059004 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.528224853 1
8.3%
-1.122829754 1
8.3%
-0.8895948985 1
8.3%
-0.6954196543 1
8.3%
-0.6322649935 1
8.3%
ValueCountFrequency (%)
0.9768357469 1
8.3%
0.7530099211 1
8.3%
0.3378785611 1
8.3%
0.2102285916 1
8.3%
-0.02432059004 1
8.3%

ajexm
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06540032679
Minimum-1.343375012
Maximum1.059476167
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:41.671643image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.343375012
5-th percentile-1.081119653
Q1-0.6012184331
median-0.07401777861
Q30.3829011943
95-th percentile1.040273237
Maximum1.059476167
Range2.40285118
Interquartile range (IQR)0.9841196273

Descriptive statistics

Standard deviation0.7838413153
Coefficient of variation (CV)-11.98528132
Kurtosis-0.8312245275
Mean-0.06540032679
Median Absolute Deviation (MAD)0.5589231075
Skewness0.2099948775
Sum-0.7848039215
Variance0.6144072075
MonotonicityNot monotonic
2025-03-30T11:01:42.079538image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.08950703116 1
8.3%
-0.4619635159 1
8.3%
-0.8665470856 1
8.3%
0.1745005692 1
8.3%
-0.5694959801 1
8.3%
0.03435746644 1
8.3%
1.024561749 1
8.3%
-0.05852852606 1
8.3%
-1.343375012 1
8.3%
1.008103069 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.343375012 1
8.3%
-0.8665470856 1
8.3%
-0.6963857921 1
8.3%
-0.5694959801 1
8.3%
-0.4619635159 1
8.3%
ValueCountFrequency (%)
1.059476167 1
8.3%
1.024561749 1
8.3%
1.008103069 1
8.3%
0.1745005692 1
8.3%
0.03435746644 1
8.3%

ajpm
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1377503688
Minimum-1.087119419
Maximum2.081648789
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:42.512198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.087119419
5-th percentile-1.030113847
Q1-0.7006732231
median0.1490498478
Q30.8697989968
95-th percentile1.452756146
Maximum2.081648789
Range3.168768208
Interquartile range (IQR)1.57047222

Descriptive statistics

Standard deviation0.9584202927
Coefficient of variation (CV)6.957660447
Kurtosis-0.2115418009
Mean0.1377503688
Median Absolute Deviation (MAD)0.7619782305
Skewness0.4873289382
Sum1.653004426
Variance0.9185694575
MonotonicityNot monotonic
2025-03-30T11:01:42.970379image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.8484575223 1
8.3%
0.3674646641 1
8.3%
0.8651158171 1
8.3%
2.081648789 1
8.3%
-1.087119419 1
8.3%
-0.2109190398 1
8.3%
-0.65141179 1
8.3%
0.3383158317 1
8.3%
-0.04021613623 1
8.3%
0.9382076206 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.087119419 1
8.3%
-0.9834729247 1
8.3%
-0.8484575223 1
8.3%
-0.65141179 1
8.3%
-0.2109190398 1
8.3%
ValueCountFrequency (%)
2.081648789 1
8.3%
0.9382076206 1
8.3%
0.883848536 1
8.3%
0.8651158171 1
8.3%
0.3674646641 1
8.3%

cshtrm
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05743208736
Minimum-1.894062611
Maximum1.072441595
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:43.422706image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.894062611
5-th percentile-1.735285035
Q1-0.7612281468
median0.1881415726
Q30.8654101035
95-th percentile1.04961438
Maximum1.072441595
Range2.966504206
Interquartile range (IQR)1.62663825

Descriptive statistics

Standard deviation1.060427772
Coefficient of variation (CV)-18.46402979
Kurtosis-1.178746339
Mean-0.05743208736
Median Absolute Deviation (MAD)0.8469466289
Skewness-0.52508426
Sum-0.6891850483
Variance1.124507059
MonotonicityNot monotonic
2025-03-30T11:01:43.854781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.60537611 1
8.3%
-0.6629556898 1
8.3%
0.8791523931 1
8.3%
-1.894062611 1
8.3%
1.030937568 1
8.3%
0.4938546089 1
8.3%
0.8608293403 1
8.3%
-0.7518055975 1
8.3%
0.7948667127 1
8.3%
1.072441595 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.894062611 1
8.3%
-1.60537611 1
8.3%
-0.7894957947 1
8.3%
-0.7518055975 1
8.3%
-0.6629556898 1
8.3%
ValueCountFrequency (%)
1.072441595 1
8.3%
1.030937568 1
8.3%
0.8791523931 1
8.3%
0.8608293403 1
8.3%
0.7948667127 1
8.3%

prccm
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3547302415
Minimum-1.018523263
Maximum2.113683869
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:44.300736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.018523263
5-th percentile-0.8437266086
Q1-0.3717429641
median-0.113043217
Q31.367103729
95-th percentile1.901186874
Maximum2.113683869
Range3.132207131
Interquartile range (IQR)1.738846693

Descriptive statistics

Standard deviation1.053699412
Coefficient of variation (CV)2.970424533
Kurtosis-1.288260153
Mean0.3547302415
Median Absolute Deviation (MAD)0.6232044652
Skewness0.5076069531
Sum4.256762898
Variance1.11028245
MonotonicityNot monotonic
2025-03-30T11:01:44.726153image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.018523263 1
8.3%
-0.2158781375 1
8.3%
-0.01020829661 1
8.3%
0.5456977663 1
8.3%
1.317764365 1
8.3%
-0.4376519421 1
8.3%
-0.2300845114 1
8.3%
-0.7007111642 1
8.3%
1.727325696 1
8.3%
2.113683869 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.018523263 1
8.3%
-0.7007111642 1
8.3%
-0.4376519421 1
8.3%
-0.3497733047 1
8.3%
-0.2300845114 1
8.3%
ValueCountFrequency (%)
2.113683869 1
8.3%
1.727325696 1
8.3%
1.515121821 1
8.3%
1.317764365 1
8.3%
0.5456977663 1
8.3%

prchm
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1642894223
Minimum-2.204540506
Maximum1.380031584
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:01:45.210894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.204540506
5-th percentile-1.672581229
Q1-0.9754051961
median0.07266363387
Q30.582947073
95-th percentile1.206188878
Maximum1.380031584
Range3.58457209
Interquartile range (IQR)1.558352269

Descriptive statistics

Standard deviation1.064736314
Coefficient of variation (CV)-6.480857374
Kurtosis-0.5215807465
Mean-0.1642894223
Median Absolute Deviation (MAD)0.8494415165
Skewness-0.3994753476
Sum-1.971473068
Variance1.133663419
MonotonicityNot monotonic
2025-03-30T11:01:45.659908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.9361215979 1
8.3%
0.2967404648 1
8.3%
0.7070998875 1
8.3%
0.06465407214 1
8.3%
-1.23734182 1
8.3%
-2.204540506 1
8.3%
1.063953937 1
8.3%
1.380031584 1
8.3%
0.0806731956 1
8.3%
-0.6349290958 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.204540506 1
8.3%
-1.23734182 1
8.3%
-1.09325599 1
8.3%
-0.9361215979 1
8.3%
-0.6349290958 1
8.3%
ValueCountFrequency (%)
1.380031584 1
8.3%
1.063953937 1
8.3%
0.7070998875 1
8.3%
0.5415628015 1
8.3%
0.2967404648 1
8.3%

prclm
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2955954976
Minimum-1.392851257
Maximum1.993635485
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:01:46.079377image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.392851257
5-th percentile-1.207966876
Q1-0.5851410393
median0.4743077824
Q30.763816794
95-th percentile1.965381834
Maximum1.993635485
Range3.386486742
Interquartile range (IQR)1.348957833

Descriptive statistics

Standard deviation1.089459511
Coefficient of variation (CV)3.685643117
Kurtosis-0.752347134
Mean0.2955954976
Median Absolute Deviation (MAD)0.8054122457
Skewness0.07385957095
Sum3.547145971
Variance1.186922027
MonotonicityNot monotonic
2025-03-30T11:01:46.525679image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.393883496 1
8.3%
-1.392851257 1
8.3%
1.993635485 1
8.3%
0.0827225385 1
8.3%
1.942265211 1
8.3%
-1.056697838 1
8.3%
0.5827396267 1
8.3%
0.6552247474 1
8.3%
1.089592934 1
8.3%
-0.5212315578 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.392851257 1
8.3%
-1.056697838 1
8.3%
-0.7768694836 1
8.3%
-0.5212315578 1
8.3%
0.0827225385 1
8.3%
ValueCountFrequency (%)
1.993635485 1
8.3%
1.942265211 1
8.3%
1.089592934 1
8.3%
0.6552247474 1
8.3%
0.5827396267 1
8.3%

trfm
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0171122506
Minimum-2.060566544
Maximum1.777336055
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:46.958234image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.060566544
5-th percentile-1.785444364
Q1-0.6487913639
median-0.09185231521
Q30.9394668588
95-th percentile1.635138594
Maximum1.777336055
Range3.837902598
Interquartile range (IQR)1.588258223

Descriptive statistics

Standard deviation1.210848106
Coefficient of variation (CV)70.75913828
Kurtosis-0.9090397581
Mean0.0171122506
Median Absolute Deviation (MAD)0.9708318516
Skewness-0.2079454158
Sum0.2053470072
Variance1.466153137
MonotonicityNot monotonic
2025-03-30T11:01:47.396685image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.3236694413 1
8.3%
-1.560344398 1
8.3%
-0.404845534 1
8.3%
-2.060566544 1
8.3%
1.518795218 1
8.3%
0.92591938 1
8.3%
0.7548661998 1
8.3%
0.1399648109 1
8.3%
0.9801092953 1
8.3%
1.777336055 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.060566544 1
8.3%
-1.560344398 1
8.3%
-1.015744323 1
8.3%
-0.5264737109 1
8.3%
-0.404845534 1
8.3%
ValueCountFrequency (%)
1.777336055 1
8.3%
1.518795218 1
8.3%
0.9801092953 1
8.3%
0.92591938 1
8.3%
0.7548661998 1
8.3%

trt1m
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2103194717
Minimum-1.850947156
Maximum0.99908506
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)75.0%
Memory size192.0 B
2025-03-30T11:01:47.825295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.850947156
5-th percentile-1.312605446
Q1-0.4514922722
median-0.2567525751
Q30.04783181372
95-th percentile0.8759713725
Maximum0.99908506
Range2.850032216
Interquartile range (IQR)0.4993240859

Descriptive statistics

Standard deviation0.746992122
Coefficient of variation (CV)-3.55170216
Kurtosis1.365599029
Mean-0.2103194717
Median Absolute Deviation (MAD)0.1958136151
Skewness-0.4668303454
Sum-2.523833661
Variance0.5579972303
MonotonicityNot monotonic
2025-03-30T11:01:48.259231image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.850947156 1
8.3%
-0.2033893194 1
8.3%
-0.08253722561 1
8.3%
-0.4547140262 1
8.3%
-0.4504183541 1
8.3%
-0.4046494829 1
8.3%
0.99908506 1
8.3%
0.7752419919 1
8.3%
0.4004684667 1
8.3%
-0.3101158308 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.850947156 1
8.3%
-0.8721440469 1
8.3%
-0.4547140262 1
8.3%
-0.4504183541 1
8.3%
-0.4046494829 1
8.3%
ValueCountFrequency (%)
0.99908506 1
8.3%
0.7752419919 1
8.3%
0.4004684667 1
8.3%
-0.06971373728 1
8.3%
-0.08253722561 1
8.3%

index_y
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02560726143
Minimum-1.651751028
Maximum2.559487889
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:48.663247image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.651751028
5-th percentile-1.410324798
Q1-1.00081002
median-0.1620885782
Q30.9599741122
95-th percentile1.975164703
Maximum2.559487889
Range4.211238917
Interquartile range (IQR)1.960784132

Descriptive statistics

Standard deviation1.274670537
Coefficient of variation (CV)49.77769842
Kurtosis-0.3716275133
Mean0.02560726143
Median Absolute Deviation (MAD)1.033453052
Skewness0.6207383248
Sum0.3072871372
Variance1.624784978
MonotonicityNot monotonic
2025-03-30T11:01:49.027796image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.1981722697 1
8.3%
0.9125158644 1
8.3%
-1.178289014 1
8.3%
-0.008621894164 1
8.3%
-1.651751028 1
8.3%
-0.9416503548 1
8.3%
-0.6536580383 1
8.3%
-1.212794247 1
8.3%
1.102348855 1
8.3%
2.559487889 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.651751028 1
8.3%
-1.212794247 1
8.3%
-1.178289014 1
8.3%
-0.9416503548 1
8.3%
-0.6536580383 1
8.3%
ValueCountFrequency (%)
2.559487889 1
8.3%
1.497082096 1
8.3%
1.102348855 1
8.3%
0.9125158644 1
8.3%
0.1981722697 1
8.3%

CAPEI
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05073083724
Minimum-1.667305703
Maximum1.148257843
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:01:49.409757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.667305703
5-th percentile-1.474546313
Q1-0.4670862265
median0.1413474485
Q30.6364849286
95-th percentile0.9818242864
Maximum1.148257843
Range2.815563545
Interquartile range (IQR)1.103571155

Descriptive statistics

Standard deviation0.8669046628
Coefficient of variation (CV)-17.08831768
Kurtosis-0.4305774705
Mean-0.05073083724
Median Absolute Deviation (MAD)0.5080293663
Skewness-0.596241554
Sum-0.6087700469
Variance0.7515236943
MonotonicityNot monotonic
2025-03-30T11:01:49.896075image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.148257843 1
8.3%
0.6286697816 1
8.3%
-0.7999598175 1
8.3%
0.6599303697 1
8.3%
-1.667305703 1
8.3%
-0.252576065 1
8.3%
0.8456513768 1
8.3%
-0.3561283628 1
8.3%
0.1628554818 1
8.3%
0.1198394151 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.667305703 1
8.3%
-1.316834085 1
8.3%
-0.7999598175 1
8.3%
-0.3561283628 1
8.3%
-0.252576065 1
8.3%
ValueCountFrequency (%)
1.148257843 1
8.3%
0.8456513768 1
8.3%
0.6599303697 1
8.3%
0.6286697816 1
8.3%
0.2188297182 1
8.3%

bm
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1416064606
Minimum-1.523742835
Maximum1.821166536
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:01:50.427014image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.523742835
5-th percentile-1.463951948
Q1-0.3179940491
median0.3211266472
Q30.7349146622
95-th percentile1.256157237
Maximum1.821166536
Range3.344909371
Interquartile range (IQR)1.052908711

Descriptive statistics

Standard deviation0.976983384
Coefficient of variation (CV)6.899285384
Kurtosis-0.09980946314
Mean0.1416064606
Median Absolute Deviation (MAD)0.4715596257
Skewness-0.4048878382
Sum1.699277527
Variance0.9544965327
MonotonicityNot monotonic
2025-03-30T11:01:50.873579image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.6938898059 1
8.3%
1.821166536 1
8.3%
-0.7533795808 1
8.3%
-0.1728655386 1
8.3%
0.450666188 1
8.3%
0.7914956442 1
8.3%
0.7938769016 1
8.3%
0.1915871064 1
8.3%
-1.415032131 1
8.3%
0.1055610954 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.523742835 1
8.3%
-1.415032131 1
8.3%
-0.7533795808 1
8.3%
-0.1728655386 1
8.3%
0.1055610954 1
8.3%
ValueCountFrequency (%)
1.821166536 1
8.3%
0.7938769016 1
8.3%
0.7914956442 1
8.3%
0.7160543349 1
8.3%
0.6938898059 1
8.3%

evm
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08186739489
Minimum-1.368730463
Maximum1.641536815
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:51.286911image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.368730463
5-th percentile-1.120228271
Q1-0.8898091828
median0.1005071355
Q30.9167680452
95-th percentile1.420768838
Maximum1.641536815
Range3.010267278
Interquartile range (IQR)1.806577228

Descriptive statistics

Standard deviation1.047859785
Coefficient of variation (CV)12.79947635
Kurtosis-1.786184796
Mean0.08186739489
Median Absolute Deviation (MAD)0.9450865954
Skewness0.05629405174
Sum0.9824087387
Variance1.098010129
MonotonicityNot monotonic
2025-03-30T11:01:51.716991image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.8872734064 1
8.3%
-0.7997432418 1
8.3%
1.240140493 1
8.3%
0.8819680657 1
8.3%
-0.9044730436 1
8.3%
1.005251962 1
8.3%
-1.368730463 1
8.3%
-0.9169082961 1
8.3%
1.641536815 1
8.3%
0.5336354278 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.368730463 1
8.3%
-0.9169082961 1
8.3%
-0.9044730436 1
8.3%
-0.8849212292 1
8.3%
-0.7997432418 1
8.3%
ValueCountFrequency (%)
1.641536815 1
8.3%
1.240140493 1
8.3%
1.005251962 1
8.3%
0.8872734064 1
8.3%
0.8819680657 1
8.3%

pe_op_basic
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3948373892
Minimum-1.671467258
Maximum1.245721436
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:52.116410image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.671467258
5-th percentile-1.440566909
Q1-0.950495113
median-0.6873318215
Q30.2648497768
95-th percentile0.755377562
Maximum1.245721436
Range2.917188694
Interquartile range (IQR)1.21534489

Descriptive statistics

Standard deviation0.8528737851
Coefficient of variation (CV)-2.160063379
Kurtosis-0.5448916233
Mean-0.3948373892
Median Absolute Deviation (MAD)0.7232733642
Skewness0.4069687199
Sum-4.738048671
Variance0.7273936933
MonotonicityNot monotonic
2025-03-30T11:01:52.535918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.6694902454 1
8.3%
0.3185560485 1
8.3%
-0.8855295766 1
8.3%
-1.145391722 1
8.3%
0.2469476863 1
8.3%
-1.251648442 1
8.3%
-0.7696586063 1
8.3%
0.1948982864 1
8.3%
0.3541871197 1
8.3%
1.245721436 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.671467258 1
8.3%
-1.251648442 1
8.3%
-1.145391722 1
8.3%
-0.8855295766 1
8.3%
-0.7696586063 1
8.3%
ValueCountFrequency (%)
1.245721436 1
8.3%
0.3541871197 1
8.3%
0.3185560485 1
8.3%
0.2469476863 1
8.3%
0.1948982864 1
8.3%

pe_op_dil
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6342309564
Minimum-0.2592531926
Maximum1.628052908
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)16.7%
Memory size192.0 B
2025-03-30T11:01:52.953794image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.2592531926
5-th percentile-0.2179185449
Q10.1037687156
median0.594479623
Q31.096545652
95-th percentile1.539855324
Maximum1.628052908
Range1.887306101
Interquartile range (IQR)0.9927769366

Descriptive statistics

Standard deviation0.6457335565
Coefficient of variation (CV)1.018136296
Kurtosis-1.250167181
Mean0.6342309564
Median Absolute Deviation (MAD)0.5011621334
Skewness0.1804177709
Sum7.610771477
Variance0.416971826
MonotonicityNot monotonic
2025-03-30T11:01:53.383443image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.334902572 1
8.3%
0.555360204 1
8.3%
-0.1840992877 1
8.3%
0.1142199416 1
8.3%
0.07241503773 1
8.3%
1.628052908 1
8.3%
1.467693664 1
8.3%
0.9987729689 1
8.3%
0.633599042 1
8.3%
-0.2592531926 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.2592531926 1
8.3%
-0.1840992877 1
8.3%
0.07241503773 1
8.3%
0.1142199416 1
8.3%
0.334902572 1
8.3%
ValueCountFrequency (%)
1.628052908 1
8.3%
1.467693664 1
8.3%
1.389863702 1
8.3%
0.9987729689 1
8.3%
0.8592439164 1
8.3%

pe_exi
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1329322438
Minimum-2.122442497
Maximum1.949956519
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:01:53.823412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.122442497
5-th percentile-1.544819747
Q1-0.845093452
median0.1638225738
Q31.026711127
95-th percentile1.503616998
Maximum1.949956519
Range4.072399016
Interquartile range (IQR)1.871804579

Descriptive statistics

Standard deviation1.188616364
Coefficient of variation (CV)8.941520358
Kurtosis-0.5092666523
Mean0.1329322438
Median Absolute Deviation (MAD)0.9317762332
Skewness-0.422212057
Sum1.595186926
Variance1.412808862
MonotonicityNot monotonic
2025-03-30T11:01:54.275808image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.2040106807 1
8.3%
1.093374429 1
8.3%
-2.122442497 1
8.3%
0.1230255625 1
8.3%
-1.069839696 1
8.3%
0.123634467 1
8.3%
1.138430117 1
8.3%
1.949956519 1
8.3%
-1.072219315 1
8.3%
1.004490026 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.122442497 1
8.3%
-1.072219315 1
8.3%
-1.069839696 1
8.3%
-0.7701780373 1
8.3%
0.1230255625 1
8.3%
ValueCountFrequency (%)
1.949956519 1
8.3%
1.138430117 1
8.3%
1.093374429 1
8.3%
1.004490026 1
8.3%
0.9929446698 1
8.3%

pe_inc
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07761194077
Minimum-1.190947904
Maximum1.427306778
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:54.732804image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.190947904
5-th percentile-0.9890481213
Q1-0.4111986798
median-0.2289598959
Q30.6789211538
95-th percentile1.330068302
Maximum1.427306778
Range2.618254682
Interquartile range (IQR)1.090119834

Descriptive statistics

Standard deviation0.852683688
Coefficient of variation (CV)10.9865013
Kurtosis-1.066389284
Mean0.07761194077
Median Absolute Deviation (MAD)0.5998099092
Skewness0.3483350898
Sum0.9313432892
Variance0.7270694718
MonotonicityNot monotonic
2025-03-30T11:01:55.152044image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.3757624284 1
8.3%
0.5357027783 1
8.3%
-0.2384556944 1
8.3%
1.427306778 1
8.3%
-0.2194640973 1
8.3%
-0.82385739 1
8.3%
1.10857628 1
8.3%
-0.3340927753 1
8.3%
-0.3425490278 1
8.3%
-0.6171476356 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.190947904 1
8.3%
-0.82385739 1
8.3%
-0.6171476356 1
8.3%
-0.3425490278 1
8.3%
-0.3340927753 1
8.3%
ValueCountFrequency (%)
1.427306778 1
8.3%
1.250509549 1
8.3%
1.10857628 1
8.3%
0.5357027783 1
8.3%
0.3757624284 1
8.3%

ps
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2741107272
Minimum-1.876679067
Maximum1.494071144
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:55.567480image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.876679067
5-th percentile-1.665918083
Q1-1.28599475
median0.07956048816
Q30.5163575701
95-th percentile1.072976233
Maximum1.494071144
Range3.370750211
Interquartile range (IQR)1.80235232

Descriptive statistics

Standard deviation1.082539135
Coefficient of variation (CV)-3.949276799
Kurtosis-1.318071502
Mean-0.2741107272
Median Absolute Deviation (MAD)0.8516505843
Skewness-0.06206725992
Sum-3.289328727
Variance1.17189098
MonotonicityNot monotonic
2025-03-30T11:01:55.983100image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.2081166775 1
8.3%
-1.237330746 1
8.3%
0.728444033 1
8.3%
0.6576055686 1
8.3%
-1.431986761 1
8.3%
1.494071144 1
8.3%
-0.04899570117 1
8.3%
-1.493477278 1
8.3%
0.4692749039 1
8.3%
-0.9748571355 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.876679067 1
8.3%
-1.493477278 1
8.3%
-1.431986761 1
8.3%
-1.237330746 1
8.3%
-0.9748571355 1
8.3%
ValueCountFrequency (%)
1.494071144 1
8.3%
0.728444033 1
8.3%
0.6576055686 1
8.3%
0.4692749039 1
8.3%
0.2164856345 1
8.3%

pcf
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2826335222
Minimum-1.349436347
Maximum1.626811567
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)66.7%
Memory size192.0 B
2025-03-30T11:01:56.380669image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.349436347
5-th percentile-1.301920909
Q1-0.9859787237
median-0.2858134322
Q30.1531421719
95-th percentile1.109434854
Maximum1.626811567
Range2.976247913
Interquartile range (IQR)1.139120896

Descriptive statistics

Standard deviation0.8825533255
Coefficient of variation (CV)-3.122606684
Kurtosis0.4734933183
Mean-0.2826335222
Median Absolute Deviation (MAD)0.6066120357
Skewness0.78149523
Sum-3.391602267
Variance0.7789003724
MonotonicityNot monotonic
2025-03-30T11:01:56.778256image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.1244469796 1
8.3%
-1.349436347 1
8.3%
0.1076150797 1
8.3%
0.2897234485 1
8.3%
-0.329478264 1
8.3%
-0.6964105149 1
8.3%
1.626811567 1
8.3%
-1.263044641 1
8.3%
-0.9235006229 1
8.3%
0.6861266342 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.349436347 1
8.3%
-1.263044641 1
8.3%
-1.173413026 1
8.3%
-0.9235006229 1
8.3%
-0.6964105149 1
8.3%
ValueCountFrequency (%)
1.626811567 1
8.3%
0.6861266342 1
8.3%
0.2897234485 1
8.3%
0.1076150797 1
8.3%
-0.1244469796 1
8.3%

npm
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1772067645
Minimum-1.805852414
Maximum1.844353547
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:01:57.178535image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.805852414
5-th percentile-1.691502595
Q1-0.8514488165
median-0.3017760863
Q30.5850229325
95-th percentile1.387805577
Maximum1.844353547
Range3.650205961
Interquartile range (IQR)1.436471749

Descriptive statistics

Standard deviation1.109147624
Coefficient of variation (CV)-6.25905917
Kurtosis-0.6929352018
Mean-0.1772067645
Median Absolute Deviation (MAD)0.6777979269
Skewness0.2714181406
Sum-2.126481174
Variance1.230208453
MonotonicityNot monotonic
2025-03-30T11:01:57.614407image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.880291559 1
8.3%
-1.805852414 1
8.3%
0.1058878676 1
8.3%
0.122630567 1
8.3%
-0.7677403913 1
8.3%
1.844353547 1
8.3%
-0.7094400402 1
8.3%
-0.841834569 1
8.3%
1.01426633 1
8.3%
-1.597943652 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.805852414 1
8.3%
-1.597943652 1
8.3%
-0.880291559 1
8.3%
-0.841834569 1
8.3%
-0.7677403913 1
8.3%
ValueCountFrequency (%)
1.844353547 1
8.3%
1.01426633 1
8.3%
0.9141788454 1
8.3%
0.4753042948 1
8.3%
0.122630567 1
8.3%

opmbd
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09212737495
Minimum-1.129673636
Maximum1.102758071
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:01:58.055125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.129673636
5-th percentile-1.037076601
Q1-0.8539700436
median-0.3306967603
Q30.720829187
95-th percentile1.094423642
Maximum1.102758071
Range2.232431706
Interquartile range (IQR)1.574799231

Descriptive statistics

Standard deviation0.8517353452
Coefficient of variation (CV)-9.245192817
Kurtosis-1.583137798
Mean-0.09212737495
Median Absolute Deviation (MAD)0.6229305682
Skewness0.3641457724
Sum-1.105528499
Variance0.7254530983
MonotonicityNot monotonic
2025-03-30T11:01:58.467943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.4497711418 1
8.3%
-0.9459392652 1
8.3%
0.634023406 1
8.3%
-0.9613153918 1
8.3%
1.087604565 1
8.3%
-0.2116223788 1
8.3%
-0.5280529075 1
8.3%
-0.8233136365 1
8.3%
0.9812465301 1
8.3%
1.102758071 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.129673636 1
8.3%
-0.9613153918 1
8.3%
-0.9459392652 1
8.3%
-0.8233136365 1
8.3%
-0.5280529075 1
8.3%
ValueCountFrequency (%)
1.102758071 1
8.3%
1.087604565 1
8.3%
0.9812465301 1
8.3%
0.634023406 1
8.3%
0.1385272861 1
8.3%

opmad
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2278212718
Minimum-1.227036399
Maximum1.198550703
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:01:58.854143image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.227036399
5-th percentile-0.8900614148
Q1-0.4829362447
median0.458973797
Q30.9659900133
95-th percentile1.183684199
Maximum1.198550703
Range2.425587102
Interquartile range (IQR)1.448926258

Descriptive statistics

Standard deviation0.8200582568
Coefficient of variation (CV)3.599568427
Kurtosis-1.223720508
Mean0.2278212718
Median Absolute Deviation (MAD)0.7130047207
Skewness-0.3715745973
Sum2.733855261
Variance0.6724955446
MonotonicityNot monotonic
2025-03-30T11:01:59.266446image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.4511528197 1
8.3%
-0.5682208367 1
8.3%
0.4667947743 1
8.3%
1.198550703 1
8.3%
-1.227036399 1
8.3%
0.9389509112 1
8.3%
0.5783866765 1
8.3%
1.171520695 1
8.3%
-0.2544887459 1
8.3%
-0.4545080474 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.227036399 1
8.3%
-0.6143546093 1
8.3%
-0.5682208367 1
8.3%
-0.4545080474 1
8.3%
-0.2544887459 1
8.3%
ValueCountFrequency (%)
1.198550703 1
8.3%
1.171520695 1
8.3%
1.04710732 1
8.3%
0.9389509112 1
8.3%
0.5783866765 1
8.3%

gpm
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.47263186
Minimum-1.729610403
Maximum0.5223590553
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)66.7%
Memory size192.0 B
2025-03-30T11:01:59.736784image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.729610403
5-th percentile-1.549816807
Q1-0.9585009196
median-0.4335480131
Q30.1207146069
95-th percentile0.4854819385
Maximum0.5223590553
Range2.251969458
Interquartile range (IQR)1.079215527

Descriptive statistics

Standard deviation0.7315175572
Coefficient of variation (CV)-1.547753377
Kurtosis-0.9151448703
Mean-0.47263186
Median Absolute Deviation (MAD)0.5691046334
Skewness-0.3058444412
Sum-5.67158232
Variance0.5351179365
MonotonicityNot monotonic
2025-03-30T11:02:00.212761image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.1058725935 1
8.3%
-0.4791412128 1
8.3%
0.455309752 1
8.3%
-0.2362586366 1
8.3%
0.5223590553 1
8.3%
-1.729610403 1
8.3%
-0.5621239364 1
8.3%
-1.266841774 1
8.3%
-1.402712957 1
8.3%
-0.3879548134 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.729610403 1
8.3%
-1.402712957 1
8.3%
-1.266841774 1
8.3%
-0.8557206348 1
8.3%
-0.5621239364 1
8.3%
ValueCountFrequency (%)
0.5223590553 1
8.3%
0.455309752 1
8.3%
0.1652406471 1
8.3%
0.1058725935 1
8.3%
-0.2362586366 1
8.3%

ptpm
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1137813415
Minimum-1.345680011
Maximum1.004023972
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:02:00.641785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.345680011
5-th percentile-0.92527597
Q1-0.2383787192
median0.03596120032
Q30.7063309799
95-th percentile0.8963834496
Maximum1.004023972
Range2.349703984
Interquartile range (IQR)0.9447096991

Descriptive statistics

Standard deviation0.6846814973
Coefficient of variation (CV)6.017519993
Kurtosis0.2707651809
Mean0.1137813415
Median Absolute Deviation (MAD)0.5589881376
Skewness-0.6643926041
Sum1.365376098
Variance0.4687887527
MonotonicityNot monotonic
2025-03-30T11:02:01.064210image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.5366672481 1
8.3%
-0.005008204562 1
8.3%
0.07693060521 1
8.3%
-0.2688008975 1
8.3%
0.6813424257 1
8.3%
-0.0941625936 1
8.3%
-0.5813090271 1
8.3%
1.004023972 1
8.3%
-0.2282379932 1
8.3%
0.7812966427 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.345680011 1
8.3%
-0.5813090271 1
8.3%
-0.2688008975 1
8.3%
-0.2282379932 1
8.3%
-0.0941625936 1
8.3%
ValueCountFrequency (%)
1.004023972 1
8.3%
0.808313931 1
8.3%
0.7812966427 1
8.3%
0.6813424257 1
8.3%
0.5366672481 1
8.3%

cfm
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2122125551
Minimum-1.366177209
Maximum1.890492162
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)66.7%
Memory size192.0 B
2025-03-30T11:02:01.469448image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.366177209
5-th percentile-1.365336217
Q1-0.5377149212
median-0.1905179053
Q30.1191768785
95-th percentile0.9949964484
Maximum1.890492162
Range3.256669371
Interquartile range (IQR)0.6568917997

Descriptive statistics

Standard deviation0.8895005531
Coefficient of variation (CV)-4.191554795
Kurtosis2.103651449
Mean-0.2122125551
Median Absolute Deviation (MAD)0.3208697241
Skewness0.816824472
Sum-2.546550662
Variance0.791211234
MonotonicityNot monotonic
2025-03-30T11:02:01.910236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.2963029975 1
8.3%
-1.364648132 1
8.3%
-0.2892972151 1
8.3%
0.2623181375 1
8.3%
-1.366177209 1
8.3%
0.1527016994 1
8.3%
0.1080019382 1
8.3%
-0.000652542097 1
8.3%
-0.2088590496 1
8.3%
-1.261950692 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.366177209 1
8.3%
-1.364648132 1
8.3%
-1.261950692 1
8.3%
-0.2963029975 1
8.3%
-0.2892972151 1
8.3%
ValueCountFrequency (%)
1.890492162 1
8.3%
0.2623181375 1
8.3%
0.1527016994 1
8.3%
0.1080019382 1
8.3%
-0.000652542097 1
8.3%

roa
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02593757512
Minimum-1.644641769
Maximum1.572546905
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:02:02.331064image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.644641769
5-th percentile-0.8918613869
Q1-0.07459958833
median-0.005966172477
Q30.1543206946
95-th percentile0.9491276756
Maximum1.572546905
Range3.217188674
Interquartile range (IQR)0.2289202829

Descriptive statistics

Standard deviation0.7094834686
Coefficient of variation (CV)27.35350029
Kurtosis4.394029421
Mean0.02593757512
Median Absolute Deviation (MAD)0.1095152842
Skewness-0.2779892912
Sum0.3112509014
Variance0.5033667922
MonotonicityNot monotonic
2025-03-30T11:02:02.793161image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.03407295847 1
8.3%
-0.09810056693 1
8.3%
1.572546905 1
8.3%
0.05568755707 1
8.3%
-0.02374666228 1
8.3%
0.2544927742 1
8.3%
-1.644641769 1
8.3%
-0.2759501654 1
8.3%
0.01181431732 1
8.3%
-0.0667659288 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.644641769 1
8.3%
-0.2759501654 1
8.3%
-0.09810056693 1
8.3%
-0.0667659288 1
8.3%
-0.03407295847 1
8.3%
ValueCountFrequency (%)
1.572546905 1
8.3%
0.4390573971 1
8.3%
0.2544927742 1
8.3%
0.1209300014 1
8.3%
0.05568755707 1
8.3%

roe
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3529290024
Minimum-1.22482509
Maximum1.545225409
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:02:03.203568image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.22482509
5-th percentile-0.9928563347
Q1-0.46583735
median0.525879786
Q31.307250977
95-th percentile1.530240254
Maximum1.545225409
Range2.770050499
Interquartile range (IQR)1.773088327

Descriptive statistics

Standard deviation0.9881383995
Coefficient of variation (CV)2.79982204
Kurtosis-1.491273899
Mean0.3529290024
Median Absolute Deviation (MAD)0.9627677359
Skewness-0.162165289
Sum4.235148029
Variance0.9764174966
MonotonicityNot monotonic
2025-03-30T11:02:03.613557image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.545225409 1
8.3%
0.6793026129 1
8.3%
1.517979671 1
8.3%
-0.8030637167 1
8.3%
-0.4376970057 1
8.3%
-1.22482509 1
8.3%
1.487838466 1
8.3%
-0.5502583827 1
8.3%
0.3790710474 1
8.3%
-0.2781686551 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.22482509 1
8.3%
-0.8030637167 1
8.3%
-0.5502583827 1
8.3%
-0.4376970057 1
8.3%
-0.2781686551 1
8.3%
ValueCountFrequency (%)
1.545225409 1
8.3%
1.517979671 1
8.3%
1.487838466 1
8.3%
1.247055147 1
8.3%
0.6793026129 1
8.3%

roce
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03656792279
Minimum-1.93783132
Maximum1.749902984
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)66.7%
Memory size192.0 B
2025-03-30T11:02:04.014070image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.93783132
5-th percentile-1.202058127
Q1-0.5145792431
median-0.3110080984
Q30.931253016
95-th percentile1.557620831
Maximum1.749902984
Range3.687734304
Interquartile range (IQR)1.445832259

Descriptive statistics

Standard deviation1.04557203
Coefficient of variation (CV)28.59260111
Kurtosis-0.1440636957
Mean0.03656792279
Median Absolute Deviation (MAD)0.2667960735
Skewness0.08446752585
Sum0.4388150735
Variance1.09322087
MonotonicityNot monotonic
2025-03-30T11:02:04.456189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.5055304978 1
8.3%
-1.93783132 1
8.3%
1.400299069 1
8.3%
-0.541725479 1
8.3%
-0.4158592781 1
8.3%
-0.06646973137 1
8.3%
-0.6000618783 1
8.3%
1.749902984 1
8.3%
1.10465507 1
8.3%
-0.320884571 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.93783132 1
8.3%
-0.6000618783 1
8.3%
-0.541725479 1
8.3%
-0.5055304978 1
8.3%
-0.4158592781 1
8.3%
ValueCountFrequency (%)
1.749902984 1
8.3%
1.400299069 1
8.3%
1.10465507 1
8.3%
0.8734523312 1
8.3%
-0.06646973137 1
8.3%

aftret_eq
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001186112502
Minimum-1.160137815
Maximum1.519450535
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:02:04.906135image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.160137815
5-th percentile-1.062050545
Q1-0.8980415956
median-0.3102660468
Q30.8244011582
95-th percentile1.465975711
Maximum1.519450535
Range2.679588349
Interquartile range (IQR)1.722442754

Descriptive statistics

Standard deviation1.002763963
Coefficient of variation (CV)845.4206168
Kurtosis-1.635196223
Mean0.001186112502
Median Absolute Deviation (MAD)0.7607015228
Skewness0.3834223058
Sum0.01423335002
Variance1.005535565
MonotonicityNot monotonic
2025-03-30T11:02:05.350057image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.020003855 1
8.3%
-0.5025614171 1
8.3%
-0.1179706765 1
8.3%
-0.9203561755 1
8.3%
0.5994356798 1
8.3%
-0.7326537505 1
8.3%
0.7592002594 1
8.3%
-0.8906034023 1
8.3%
-1.160137815 1
8.3%
1.519450535 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.160137815 1
8.3%
-0.9817973244 1
8.3%
-0.9203561755 1
8.3%
-0.8906034023 1
8.3%
-0.7326537505 1
8.3%
ValueCountFrequency (%)
1.519450535 1
8.3%
1.422223583 1
8.3%
1.020003855 1
8.3%
0.7592002594 1
8.3%
0.5994356798 1
8.3%

aftret_invcapx
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1114025765
Minimum-1.903331999
Maximum2.256394388
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:02:05.794029image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.903331999
5-th percentile-1.880266514
Q1-0.6372975557
median-0.1661129558
Q30.3401495328
95-th percentile1.692968741
Maximum2.256394388
Range4.159726387
Interquartile range (IQR)0.9774470885

Descriptive statistics

Standard deviation1.18867376
Coefficient of variation (CV)-10.67007422
Kurtosis0.3376112904
Mean-0.1114025765
Median Absolute Deviation (MAD)0.6068341297
Skewness0.284981125
Sum-1.336830918
Variance1.412945307
MonotonicityNot monotonic
2025-03-30T11:02:06.198797image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.9819880767 1
8.3%
-0.3520373354 1
8.3%
-1.861394754 1
8.3%
1.23198412 1
8.3%
0.6655575829 1
8.3%
0.2309316001 1
8.3%
0.2316801828 1
8.3%
-0.5224007154 1
8.3%
2.256394388 1
8.3%
-0.2854208363 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.903331999 1
8.3%
-1.861394754 1
8.3%
-0.9819880767 1
8.3%
-0.5224007154 1
8.3%
-0.3520373354 1
8.3%
ValueCountFrequency (%)
2.256394388 1
8.3%
1.23198412 1
8.3%
0.6655575829 1
8.3%
0.2316801828 1
8.3%
0.2309316001 1
8.3%

aftret_equity
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3721020399
Minimum-0.8865488301
Maximum2.19153676
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:02:06.607327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8865488301
5-th percentile-0.8720392041
Q1-0.4642856348
median0.4959560417
Q31.016279778
95-th percentile1.787529599
Maximum2.19153676
Range3.07808559
Interquartile range (IQR)1.480565413

Descriptive statistics

Standard deviation1.000948515
Coefficient of variation (CV)2.689983949
Kurtosis-1.006555015
Mean0.3721020399
Median Absolute Deviation (MAD)0.8669686529
Skewness0.258765728
Sum4.465224479
Variance1.001897929
MonotonicityNot monotonic
2025-03-30T11:02:07.032453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.082852279 1
8.3%
0.2228897376 1
8.3%
0.8676088271 1
8.3%
-0.4087105277 1
8.3%
2.19153676 1
8.3%
-0.8865488301 1
8.3%
1.456978286 1
8.3%
0.7690223458 1
8.3%
-0.8601676918 1
8.3%
-0.3333146947 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.8865488301 1
8.3%
-0.8601676918 1
8.3%
-0.6310109561 1
8.3%
-0.4087105277 1
8.3%
-0.3333146947 1
8.3%
ValueCountFrequency (%)
2.19153676 1
8.3%
1.456978286 1
8.3%
1.082852279 1
8.3%
0.9940889445 1
8.3%
0.8676088271 1
8.3%

GProf
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1016164049
Minimum-1.581573365
Maximum1.310451555
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:02:07.458756image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.581573365
5-th percentile-1.563791498
Q1-0.6563747674
median-0.2049750011
Q30.6528025514
95-th percentile1.231118233
Maximum1.310451555
Range2.89202492
Interquartile range (IQR)1.309177319

Descriptive statistics

Standard deviation0.9992914261
Coefficient of variation (CV)-9.833957683
Kurtosis-1.073551547
Mean-0.1016164049
Median Absolute Deviation (MAD)0.6463929945
Skewness0.01854208599
Sum-1.219396859
Variance0.9985833543
MonotonicityNot monotonic
2025-03-30T11:02:07.865311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.581573365 1
8.3%
-1.549242698 1
8.3%
-0.510960608 1
8.3%
0.1288085791 1
8.3%
-0.8072914936 1
8.3%
1.166209151 1
8.3%
0.4854944953 1
8.3%
-0.606069192 1
8.3%
-0.5046692564 1
8.3%
1.310451555 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.581573365 1
8.3%
-1.549242698 1
8.3%
-0.8072914936 1
8.3%
-0.606069192 1
8.3%
-0.510960608 1
8.3%
ValueCountFrequency (%)
1.310451555 1
8.3%
1.166209151 1
8.3%
1.15472672 1
8.3%
0.4854944953 1
8.3%
0.1288085791 1
8.3%

equity_invcap
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2553026639
Minimum-1.360494302
Maximum0.7910087098
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:02:08.307528image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.360494302
5-th percentile-1.326934811
Q1-0.7177387025
median-0.2537523091
Q30.2407165987
95-th percentile0.7765566768
Maximum0.7910087098
Range2.151503012
Interquartile range (IQR)0.9584553012

Descriptive statistics

Standard deviation0.7291075358
Coefficient of variation (CV)-2.855855574
Kurtosis-1.028660826
Mean-0.2553026639
Median Absolute Deviation (MAD)0.5197369675
Skewness-0.09858264371
Sum-3.063631967
Variance0.5315977987
MonotonicityNot monotonic
2025-03-30T11:02:08.683353image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.7910087098 1
8.3%
-0.096090176 1
8.3%
-1.360494302 1
8.3%
0.09163202869 1
8.3%
0.316520778 1
8.3%
-0.4866129897 1
8.3%
-0.9478506247 1
8.3%
0.7647322862 1
8.3%
0.2154485389 1
8.3%
-1.299477046 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.360494302 1
8.3%
-1.299477046 1
8.3%
-0.9478506247 1
8.3%
-0.6410347284 1
8.3%
-0.4866129897 1
8.3%
ValueCountFrequency (%)
0.7910087098 1
8.3%
0.7647322862 1
8.3%
0.316520778 1
8.3%
0.2154485389 1
8.3%
0.09163202869 1
8.3%

debt_invcap
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2961139997
Minimum-1.515446326
Maximum1.848832499
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:02:09.091935image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.515446326
5-th percentile-1.279565232
Q1-0.6689609303
median0.5416102393
Q31.060104844
95-th percentile1.744629434
Maximum1.848832499
Range3.364278824
Interquartile range (IQR)1.729065775

Descriptive statistics

Standard deviation1.08420999
Coefficient of variation (CV)3.661461434
Kurtosis-1.035251878
Mean0.2961139997
Median Absolute Deviation (MAD)0.8530621585
Skewness-0.2627531982
Sum3.553367996
Variance1.175511302
MonotonicityNot monotonic
2025-03-30T11:02:09.550813image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.515446326 1
8.3%
0.4564078514 1
8.3%
1.036815654 1
8.3%
1.65937238 1
8.3%
-0.6858332091 1
8.3%
0.06334108708 1
8.3%
1.848832499 1
8.3%
-1.08657161 1
8.3%
0.6830014645 1
8.3%
-0.6633368374 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.515446326 1
8.3%
-1.08657161 1
8.3%
-0.6858332091 1
8.3%
-0.6633368374 1
8.3%
0.06334108708 1
8.3%
ValueCountFrequency (%)
1.848832499 1
8.3%
1.65937238 1
8.3%
1.129972415 1
8.3%
1.036815654 1
8.3%
0.6830014645 1
8.3%

totdebt_invcap
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4494923348
Minimum-2.424178004
Maximum2.654733897
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)25.0%
Memory size192.0 B
2025-03-30T11:02:10.024574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.424178004
5-th percentile-1.576831904
Q1-0.1040634751
median0.3724814518
Q31.193739138
95-th percentile2.396764093
Maximum2.654733897
Range5.078911901
Interquartile range (IQR)1.297802613

Descriptive statistics

Standard deviation1.394038321
Coefficient of variation (CV)3.10136172
Kurtosis0.497215119
Mean0.4494923348
Median Absolute Deviation (MAD)0.8052314129
Skewness-0.357915822
Sum5.393908017
Variance1.943342839
MonotonicityNot monotonic
2025-03-30T11:02:11.038758image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.6112521179 1
8.3%
1.777324427 1
8.3%
-0.883548731 1
8.3%
0.3413045936 1
8.3%
2.654733897 1
8.3%
0.9992107079 1
8.3%
0.6796846464 1
8.3%
2.185697889 1
8.3%
-2.424178004 1
8.3%
0.06499940583 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.424178004 1
8.3%
-0.883548731 1
8.3%
-0.6112521179 1
8.3%
0.06499940583 1
8.3%
0.2062729922 1
8.3%
ValueCountFrequency (%)
2.654733897 1
8.3%
2.185697889 1
8.3%
1.777324427 1
8.3%
0.9992107079 1
8.3%
0.6796846464 1
8.3%

capital_ratio
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01608116378
Minimum-1.294280662
Maximum1.05193412
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:02:11.447052image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.294280662
5-th percentile-1.061887497
Q1-0.5056233836
median0.04639616113
Q30.4785189892
95-th percentile0.8278651576
Maximum1.05193412
Range2.346214782
Interquartile range (IQR)0.9841423728

Descriptive statistics

Standard deviation0.6810216155
Coefficient of variation (CV)-42.34902553
Kurtosis-0.3472165396
Mean-0.01608116378
Median Absolute Deviation (MAD)0.5532318612
Skewness-0.3705056872
Sum-0.1929739653
Variance0.4637904408
MonotonicityNot monotonic
2025-03-30T11:02:11.847055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.07388600926 1
8.3%
-1.294280662 1
8.3%
1.05193412 1
8.3%
0.6445360062 1
8.3%
0.01890631299 1
8.3%
-0.8717476353 1
8.3%
-0.5044110671 1
8.3%
0.633533932 1
8.3%
-0.509260333 1
8.3%
0.4268473417 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.294280662 1
8.3%
-0.8717476353 1
8.3%
-0.509260333 1
8.3%
-0.5044110671 1
8.3%
-0.0640237504 1
8.3%
ValueCountFrequency (%)
1.05193412 1
8.3%
0.6445360062 1
8.3%
0.633533932 1
8.3%
0.4268473417 1
8.3%
0.20110576 1
8.3%

cash_lt
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04200470892
Minimum-1.290265721
Maximum1.583238608
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:02:12.231407image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.290265721
5-th percentile-1.122217102
Q1-0.5889059604
median-0.04396204034
Q30.7857368645
95-th percentile1.301515204
Maximum1.583238608
Range2.873504329
Interquartile range (IQR)1.374642825

Descriptive statistics

Standard deviation0.9166697456
Coefficient of variation (CV)21.8230234
Kurtosis-1.126701591
Mean0.04200470892
Median Absolute Deviation (MAD)0.8637262697
Skewness0.1443075104
Sum0.504056507
Variance0.8402834225
MonotonicityNot monotonic
2025-03-30T11:02:12.632213image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.9847227775 1
8.3%
0.8982838006 1
8.3%
1.583238608 1
8.3%
-0.3160093755 1
8.3%
-1.290265721 1
8.3%
-0.9792313202 1
8.3%
0.7482212192 1
8.3%
-0.3774047459 1
8.3%
0.2280852948 1
8.3%
-0.4587975071 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.290265721 1
8.3%
-0.9847227775 1
8.3%
-0.9792313202 1
8.3%
-0.4587975071 1
8.3%
-0.3774047459 1
8.3%
ValueCountFrequency (%)
1.583238608 1
8.3%
1.071014236 1
8.3%
0.8982838006 1
8.3%
0.7482212192 1
8.3%
0.3816447954 1
8.3%

debt_at
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04354995809
Minimum-1.49440094
Maximum1.720496524
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:02:13.047418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.49440094
5-th percentile-1.190197165
Q1-0.3820962005
median-0.07393692856
Q30.4948011785
95-th percentile1.577584695
Maximum1.720496524
Range3.214897463
Interquartile range (IQR)0.8768973789

Descriptive statistics

Standard deviation0.9413480825
Coefficient of variation (CV)21.61536139
Kurtosis-0.1376692939
Mean0.04354995809
Median Absolute Deviation (MAD)0.6357520199
Skewness0.3242899693
Sum0.5225994971
Variance0.8861362124
MonotonicityNot monotonic
2025-03-30T11:02:13.470668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.720496524 1
8.3%
0.110917408 1
8.3%
-0.941303167 1
8.3%
-0.2140849466 1
8.3%
-0.1025421985 1
8.3%
1.460656836 1
8.3%
0.695842917 1
8.3%
-0.8789654136 1
8.3%
-0.04533165859 1
8.3%
-0.2164731294 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.49440094 1
8.3%
-0.941303167 1
8.3%
-0.8789654136 1
8.3%
-0.2164731294 1
8.3%
-0.2140849466 1
8.3%
ValueCountFrequency (%)
1.720496524 1
8.3%
1.460656836 1
8.3%
0.695842917 1
8.3%
0.4277872656 1
8.3%
0.110917408 1
8.3%

debt_ebitda
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2792742923
Minimum-0.7406959375
Maximum1.522279131
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:02:13.934196image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7406959375
5-th percentile-0.6068699021
Q1-0.2592797795
median0.4023433955
Q30.5827436631
95-th percentile1.163033426
Maximum1.522279131
Range2.262975068
Interquartile range (IQR)0.8420234426

Descriptive statistics

Standard deviation0.6503384612
Coefficient of variation (CV)2.328672846
Kurtosis-0.2360909236
Mean0.2792742923
Median Absolute Deviation (MAD)0.4314940323
Skewness0.1282738995
Sum3.351291508
Variance0.4229401141
MonotonicityNot monotonic
2025-03-30T11:02:14.348195image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.4058544197 1
8.3%
1.522279131 1
8.3%
0.3727240273 1
8.3%
-0.2104215661 1
8.3%
0.8691051214 1
8.3%
0.2063968897 1
8.3%
-0.497375873 1
8.3%
0.7985697343 1
8.3%
-0.7406959375 1
8.3%
0.5108016394 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.7406959375 1
8.3%
-0.497375873 1
8.3%
-0.4058544197 1
8.3%
-0.2104215661 1
8.3%
0.2063968897 1
8.3%
ValueCountFrequency (%)
1.522279131 1
8.3%
0.8691051214 1
8.3%
0.7985697343 1
8.3%
0.5108016394 1
8.3%
0.4937999974 1
8.3%

lt_debt
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2604554945
Minimum-2.13344186
Maximum1.585196345
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:02:14.744260image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.13344186
5-th percentile-1.993061333
Q1-1.224058483
median-0.4058456984
Q30.7420905159
95-th percentile1.34166503
Maximum1.585196345
Range3.718638205
Interquartile range (IQR)1.966148999

Descriptive statistics

Standard deviation1.230180587
Coefficient of variation (CV)-4.723189232
Kurtosis-1.295720196
Mean-0.2604554945
Median Absolute Deviation (MAD)1.041287216
Skewness-0.05339095966
Sum-3.125465934
Variance1.513344276
MonotonicityNot monotonic
2025-03-30T11:02:15.181462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.878204538 1
8.3%
-0.6617258399 1
8.3%
0.8853625426 1
8.3%
-1.185988787 1
8.3%
0.5765498615 1
8.3%
-2.13344186 1
8.3%
1.142412135 1
8.3%
-0.3909250974 1
8.3%
1.585196345 1
8.3%
-0.4207662994 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.13344186 1
8.3%
-1.878204538 1
8.3%
-1.338267571 1
8.3%
-1.185988787 1
8.3%
-0.6617258399 1
8.3%
ValueCountFrequency (%)
1.585196345 1
8.3%
1.142412135 1
8.3%
0.8853625426 1
8.3%
0.6943331737 1
8.3%
0.5765498615 1
8.3%

cash_debt
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3600727037
Minimum-1.501004448
Maximum2.505685318
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)25.0%
Memory size192.0 B
2025-03-30T11:02:15.655354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.501004448
5-th percentile-1.271950529
Q1-0.07033869012
median0.2175160299
Q30.8128305482
95-th percentile1.991267159
Maximum2.505685318
Range4.006689766
Interquartile range (IQR)0.8831692383

Descriptive statistics

Standard deviation1.096046897
Coefficient of variation (CV)3.043959971
Kurtosis0.398151911
Mean0.3600727037
Median Absolute Deviation (MAD)0.4749511742
Skewness0.2194615505
Sum4.320872444
Variance1.201318799
MonotonicityNot monotonic
2025-03-30T11:02:16.162615image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.002775049832 1
8.3%
2.505685318 1
8.3%
1.570379575 1
8.3%
0.6602224384 1
8.3%
0.579004034 1
8.3%
0.1815874107 1
8.3%
-1.084542777 1
8.3%
-0.28967991 1
8.3%
1.270654878 1
8.3%
0.2534446491 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.501004448 1
8.3%
-1.084542777 1
8.3%
-0.28967991 1
8.3%
0.002775049832 1
8.3%
0.1723462271 1
8.3%
ValueCountFrequency (%)
2.505685318 1
8.3%
1.570379575 1
8.3%
1.270654878 1
8.3%
0.6602224384 1
8.3%
0.579004034 1
8.3%

lt_ppent
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1312874985
Minimum-1.495087252
Maximum1.767386333
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:02:16.626029image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.495087252
5-th percentile-1.442053311
Q1-0.856463533
median-0.06323310038
Q30.3723688151
95-th percentile1.303659152
Maximum1.767386333
Range3.262473585
Interquartile range (IQR)1.228832348

Descriptive statistics

Standard deviation0.9708903995
Coefficient of variation (CV)-7.395147371
Kurtosis-0.1995020713
Mean-0.1312874985
Median Absolute Deviation (MAD)0.6053787499
Skewness0.3024031973
Sum-1.575449982
Variance0.9426281679
MonotonicityNot monotonic
2025-03-30T11:02:17.064822image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.398661905 1
8.3%
1.767386333 1
8.3%
0.3479869078 1
8.3%
-0.3756661192 1
8.3%
0.4455145371 1
8.3%
0.924246004 1
8.3%
-1.495087252 1
8.3%
-0.7652429626 1
8.3%
0.2306659199 1
8.3%
0.04077169153 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.495087252 1
8.3%
-1.398661905 1
8.3%
-1.130125244 1
8.3%
-0.7652429626 1
8.3%
-0.3756661192 1
8.3%
ValueCountFrequency (%)
1.767386333 1
8.3%
0.924246004 1
8.3%
0.4455145371 1
8.3%
0.3479869078 1
8.3%
0.2306659199 1
8.3%

dltt_be
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1003288472
Minimum-1.515388858
Maximum1.865345666
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:02:17.533345image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.515388858
5-th percentile-1.380024761
Q1-0.972350622
median-0.07524786507
Q30.55988664
95-th percentile1.489206932
Maximum1.865345666
Range3.380734524
Interquartile range (IQR)1.532237262

Descriptive statistics

Standard deviation1.084450065
Coefficient of variation (CV)-10.80895571
Kurtosis-1.02261031
Mean-0.1003288472
Median Absolute Deviation (MAD)0.899614684
Skewness0.3703103478
Sum-1.203946166
Variance1.176031944
MonotonicityNot monotonic
2025-03-30T11:02:17.983849image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.865345666 1
8.3%
-1.269272319 1
8.3%
-0.461055014 1
8.3%
-1.515388858 1
8.3%
1.181457057 1
8.3%
0.3105592839 1
8.3%
0.3124374623 1
8.3%
-1.078633538 1
8.3%
-0.9369229835 1
8.3%
-0.9338593675 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.515388858 1
8.3%
-1.269272319 1
8.3%
-1.078633538 1
8.3%
-0.9369229835 1
8.3%
-0.9338593675 1
8.3%
ValueCountFrequency (%)
1.865345666 1
8.3%
1.181457057 1
8.3%
0.8623063844 1
8.3%
0.4590800585 1
8.3%
0.3124374623 1
8.3%

debt_assets
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1978987579
Minimum-1.34972291
Maximum1.735880899
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:02:18.433648image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.34972291
5-th percentile-1.097698857
Q1-0.3501263561
median0.1915511148
Q30.8599677426
95-th percentile1.397515028
Maximum1.735880899
Range3.08560381
Interquartile range (IQR)1.210094099

Descriptive statistics

Standard deviation0.9101632761
Coefficient of variation (CV)4.599135871
Kurtosis-0.6938961329
Mean0.1978987579
Median Absolute Deviation (MAD)0.6805565163
Skewness-0.07964032019
Sum2.374785094
Variance0.8283971891
MonotonicityNot monotonic
2025-03-30T11:02:18.874300image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.8914973594 1
8.3%
0.7495343823 1
8.3%
0.1077866728 1
8.3%
0.2753155567 1
8.3%
0.8478278541 1
8.3%
-1.34972291 1
8.3%
-0.2530520813 1
8.3%
1.120670224 1
8.3%
0.8963874082 1
8.3%
-0.6413491804 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.34972291 1
8.3%
-0.8914973594 1
8.3%
-0.6413491804 1
8.3%
-0.2530520813 1
8.3%
-0.2229963715 1
8.3%
ValueCountFrequency (%)
1.735880899 1
8.3%
1.120670224 1
8.3%
0.8963874082 1
8.3%
0.8478278541 1
8.3%
0.7495343823 1
8.3%

debt_capital
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2748034497
Minimum-0.9750663642
Maximum1.498185124
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:02:19.318659image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.9750663642
5-th percentile-0.785090608
Q1-0.3292084989
median0.2561910319
Q30.9633381186
95-th percentile1.424418147
Maximum1.498185124
Range2.473251489
Interquartile range (IQR)1.292546617

Descriptive statistics

Standard deviation0.8335598475
Coefficient of variation (CV)3.0332947
Kurtosis-1.290640735
Mean0.2748034497
Median Absolute Deviation (MAD)0.7185416658
Skewness0.1339497335
Sum3.297641397
Variance0.6948220193
MonotonicityNot monotonic
2025-03-30T11:02:19.786037image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.8690817733 1
8.3%
0.424915246 1
8.3%
1.498185124 1
8.3%
0.09183181901 1
8.3%
-0.9750663642 1
8.3%
-0.5680015584 1
8.3%
0.4205502447 1
8.3%
1.246107155 1
8.3%
-0.6296558983 1
8.3%
-0.194758679 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.9750663642 1
8.3%
-0.6296558983 1
8.3%
-0.5680015584 1
8.3%
-0.2496108123 1
8.3%
-0.194758679 1
8.3%
ValueCountFrequency (%)
1.498185124 1
8.3%
1.364063347 1
8.3%
1.246107155 1
8.3%
0.8690817733 1
8.3%
0.424915246 1
8.3%

de_ratio
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5176565139
Minimum-1.787524872
Maximum1.42619916
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)75.0%
Memory size192.0 B
2025-03-30T11:02:20.161954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.787524872
5-th percentile-1.624355668
Q1-1.33925063
median-0.5809261536
Q3-0.1933155352
95-th percentile1.254430544
Maximum1.42619916
Range3.213724032
Interquartile range (IQR)1.145935095

Descriptive statistics

Standard deviation1.036208164
Coefficient of variation (CV)-2.001729208
Kurtosis-0.3498302583
Mean-0.5176565139
Median Absolute Deviation (MAD)0.7787924695
Skewness0.8010867324
Sum-6.211878167
Variance1.073727359
MonotonicityNot monotonic
2025-03-30T11:02:20.583304image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.400654609 1
8.3%
-0.4095877639 1
8.3%
1.113892585 1
8.3%
-0.6363989811 1
8.3%
-1.787524872 1
8.3%
0.4555011511 1
8.3%
-0.5254533262 1
8.3%
-0.4765540837 1
8.3%
-1.161661197 1
8.3%
-1.490853592 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.787524872 1
8.3%
-1.490853592 1
8.3%
-1.400654609 1
8.3%
-1.318782638 1
8.3%
-1.161661197 1
8.3%
ValueCountFrequency (%)
1.42619916 1
8.3%
1.113892585 1
8.3%
0.4555011511 1
8.3%
-0.4095877639 1
8.3%
-0.4765540837 1
8.3%

at_turn
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2108063393
Minimum-1.601776945
Maximum1.466288172
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)33.3%
Memory size192.0 B
2025-03-30T11:02:21.023458image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.601776945
5-th percentile-1.167565367
Q1-0.306692721
median0.1899810359
Q30.9677372249
95-th percentile1.456960412
Maximum1.466288172
Range3.068065117
Interquartile range (IQR)1.274429946

Descriptive statistics

Standard deviation0.9279148114
Coefficient of variation (CV)4.401740547
Kurtosis-0.2350570413
Mean0.2108063393
Median Absolute Deviation (MAD)0.6964302238
Skewness-0.34174202
Sum2.529676072
Variance0.8610258973
MonotonicityNot monotonic
2025-03-30T11:02:21.415118image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.1591653848 1
8.3%
0.01726387926 1
8.3%
0.9239067513 1
8.3%
0.2207966869 1
8.3%
1.466288172 1
8.3%
1.099228646 1
8.3%
-0.8123013487 1
8.3%
-0.2526057292 1
8.3%
1.449328608 1
8.3%
0.3293356629 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.601776945 1
8.3%
-0.8123013487 1
8.3%
-0.4689536964 1
8.3%
-0.2526057292 1
8.3%
0.01726387926 1
8.3%
ValueCountFrequency (%)
1.466288172 1
8.3%
1.449328608 1
8.3%
1.099228646 1
8.3%
0.9239067513 1
8.3%
0.3293356629 1
8.3%

rect_turn
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.003257632753
Minimum-1.129344435
Maximum1.796431334
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)41.7%
Memory size192.0 B
2025-03-30T11:02:21.834771image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.129344435
5-th percentile-1.058309896
Q1-0.3678609542
median0.01161919445
Q30.3053564198
95-th percentile1.048361889
Maximum1.796431334
Range2.925775769
Interquartile range (IQR)0.673217374

Descriptive statistics

Standard deviation0.7599978731
Coefficient of variation (CV)-233.2975908
Kurtosis2.225051585
Mean-0.003257632753
Median Absolute Deviation (MAD)0.3499668078
Skewness0.8428623457
Sum-0.03909159304
Variance0.5775967671
MonotonicityNot monotonic
2025-03-30T11:02:22.278958image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.01048115984 1
8.3%
1.796431334 1
8.3%
0.2766324044 1
8.3%
-0.5462283687 1
8.3%
0.1456977821 1
8.3%
-0.1247563584 1
8.3%
-1.000190728 1
8.3%
0.01275722906 1
8.3%
-0.3084051493 1
8.3%
0.4363050708 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.129344435 1
8.3%
-1.000190728 1
8.3%
-0.5462283687 1
8.3%
-0.3084051493 1
8.3%
-0.1247563584 1
8.3%
ValueCountFrequency (%)
1.796431334 1
8.3%
0.4363050708 1
8.3%
0.3915284662 1
8.3%
0.2766324044 1
8.3%
0.1456977821 1
8.3%

pay_turn
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3692670159
Minimum-1.544151292
Maximum2.64107175
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)16.7%
Memory size192.0 B
2025-03-30T11:02:22.733150image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.544151292
5-th percentile-1.187669432
Q10.1568641004
median0.3855273806
Q30.6445018093
95-th percentile1.76094475
Maximum2.64107175
Range4.185223042
Interquartile range (IQR)0.4876377089

Descriptive statistics

Standard deviation1.013331972
Coefficient of variation (CV)2.744171368
Kurtosis2.373872246
Mean0.3692670159
Median Absolute Deviation (MAD)0.2561084892
Skewness0.3236907728
Sum4.43120419
Variance1.026841685
MonotonicityNot monotonic
2025-03-30T11:02:23.111011image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.5747203158 1
8.3%
0.463934042 1
8.3%
0.3466228925 1
8.3%
-1.544151292 1
8.3%
0.2670521551 1
8.3%
1.040840841 1
8.3%
0.07452847331 1
8.3%
2.64107175 1
8.3%
0.8538462898 1
8.3%
0.4244318688 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.544151292 1
8.3%
-0.896002455 1
8.3%
0.07452847331 1
8.3%
0.1843093095 1
8.3%
0.2670521551 1
8.3%
ValueCountFrequency (%)
2.64107175 1
8.3%
1.040840841 1
8.3%
0.8538462898 1
8.3%
0.5747203158 1
8.3%
0.463934042 1
8.3%

sale_invcap
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2171352983
Minimum-2.041328232
Maximum0.8735284721
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:02:23.540919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.041328232
5-th percentile-1.619650925
Q1-0.7621681759
median-0.01032206918
Q30.4867575579
95-th percentile0.8575098089
Maximum0.8735284721
Range2.914856704
Interquartile range (IQR)1.248925734

Descriptive statistics

Standard deviation0.890873324
Coefficient of variation (CV)-4.10284892
Kurtosis-0.07748071883
Mean-0.2171352983
Median Absolute Deviation (MAD)0.6224210017
Skewness-0.6801337692
Sum-2.605623579
Variance0.7936552793
MonotonicityNot monotonic
2025-03-30T11:02:24.026270image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.06193719724 1
8.3%
0.84440363 1
8.3%
-0.08258133561 1
8.3%
0.475082731 1
8.3%
0.0837467829 1
8.3%
-1.274642219 1
8.3%
-0.4649998703 1
8.3%
-0.7230599647 1
8.3%
0.5217820387 1
8.3%
-0.8794928094 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-2.041328232 1
8.3%
-1.274642219 1
8.3%
-0.8794928094 1
8.3%
-0.7230599647 1
8.3%
-0.4649998703 1
8.3%
ValueCountFrequency (%)
0.8735284721 1
8.3%
0.84440363 1
8.3%
0.5217820387 1
8.3%
0.475082731 1
8.3%
0.0837467829 1
8.3%

sale_equity
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1201447312
Minimum-1.239966119
Maximum1.535187012
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:02:24.425418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.239966119
5-th percentile-0.930739324
Q1-0.3494384711
median0.008868165226
Q30.6061673634
95-th percentile1.230327708
Maximum1.535187012
Range2.77515313
Interquartile range (IQR)0.9556058346

Descriptive statistics

Standard deviation0.7863224029
Coefficient of variation (CV)6.54479306
Kurtosis-0.3451238987
Mean0.1201447312
Median Absolute Deviation (MAD)0.5757669281
Skewness0.0918127424
Sum1.441736774
Variance0.6183029213
MonotonicityNot monotonic
2025-03-30T11:02:24.846872image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.1282674402 1
8.3%
-0.6063906895 1
8.3%
0.5451431667 1
8.3%
-0.2637877317 1
8.3%
-1.239966119 1
8.3%
0.9808973684 1
8.3%
-0.1413145304 1
8.3%
0.5027275963 1
8.3%
-0.6777355829 1
8.3%
-0.1105311098 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.239966119 1
8.3%
-0.6777355829 1
8.3%
-0.6063906895 1
8.3%
-0.2637877317 1
8.3%
-0.1413145304 1
8.3%
ValueCountFrequency (%)
1.535187012 1
8.3%
0.9808973684 1
8.3%
0.7892399537 1
8.3%
0.5451431667 1
8.3%
0.5027275963 1
8.3%

rd_sale
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05339699886
Minimum-1.580710853
Maximum1.898180775
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:02:25.309978image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.580710853
5-th percentile-1.412433491
Q1-1.027630282
median-0.0275940105
Q30.8160636256
95-th percentile1.895875034
Maximum1.898180775
Range3.478891628
Interquartile range (IQR)1.843693907

Descriptive statistics

Standard deviation1.270685442
Coefficient of variation (CV)23.79694495
Kurtosis-1.175112211
Mean0.05339699886
Median Absolute Deviation (MAD)1.013410211
Skewness0.4597270334
Sum0.6407639863
Variance1.614641493
MonotonicityNot monotonic
2025-03-30T11:02:25.796893image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.4679159257 1
8.3%
1.860506725 1
8.3%
1.898180775 1
8.3%
1.893988518 1
8.3%
0.2607610446 1
8.3%
-0.747929671 1
8.3%
0.01234340412 1
8.3%
-1.014256342 1
8.3%
-1.580710853 1
8.3%
-1.274752014 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.580710853 1
8.3%
-1.274752014 1
8.3%
-1.067752102 1
8.3%
-1.014256342 1
8.3%
-0.747929671 1
8.3%
ValueCountFrequency (%)
1.898180775 1
8.3%
1.893988518 1
8.3%
1.860506725 1
8.3%
0.4679159257 1
8.3%
0.2607610446 1
8.3%

adv_sale
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2161352977
Minimum-0.6198203251
Maximum1.612497767
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)58.3%
Memory size192.0 B
2025-03-30T11:02:26.234240image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-0.6198203251
5-th percentile-0.5436218329
Q1-0.257454277
median-0.07027980615
Q30.8819191478
95-th percentile1.263126358
Maximum1.612497767
Range2.232318092
Interquartile range (IQR)1.139373425

Descriptive statistics

Standard deviation0.7097952125
Coefficient of variation (CV)3.284031901
Kurtosis-0.5884697907
Mean0.2161352977
Median Absolute Deviation (MAD)0.4076283095
Skewness0.7179337966
Sum2.593623572
Variance0.5038092437
MonotonicityNot monotonic
2025-03-30T11:02:26.634129image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.9772770243 1
8.3%
-0.1313505712 1
8.3%
1.612497767 1
8.3%
-0.6198203251 1
8.3%
0.8780873851 1
8.3%
0.8934144358 1
8.3%
-0.4745386191 1
8.3%
-0.01818337929 1
8.3%
-0.1850928297 1
8.3%
0.2649865298 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-0.6198203251 1
8.3%
-0.4812776121 1
8.3%
-0.4745386191 1
8.3%
-0.1850928297 1
8.3%
-0.1313505712 1
8.3%
ValueCountFrequency (%)
1.612497767 1
8.3%
0.9772770243 1
8.3%
0.8934144358 1
8.3%
0.8780873851 1
8.3%
0.2649865298 1
8.3%

staff_sale
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05298066088
Minimum-1.404772683
Maximum1.958369807
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)50.0%
Memory size192.0 B
2025-03-30T11:02:27.024659image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.404772683
5-th percentile-1.386610114
Q1-0.7205843349
median0.0493776666
Q30.7662492114
95-th percentile1.526214046
Maximum1.958369807
Range3.36314249
Interquartile range (IQR)1.486833546

Descriptive statistics

Standard deviation1.068906039
Coefficient of variation (CV)20.17540025
Kurtosis-0.7492927416
Mean0.05298066088
Median Absolute Deviation (MAD)0.8064035088
Skewness0.115562541
Sum0.6357679306
Variance1.14256012
MonotonicityNot monotonic
2025-03-30T11:02:27.457514image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.1714209137 1
8.3%
1.172632061 1
8.3%
-1.371749831 1
8.3%
-0.5559499262 1
8.3%
-1.404772683 1
8.3%
1.034845103 1
8.3%
1.958369807 1
8.3%
-0.04778753123 1
8.3%
0.4128292936 1
8.3%
0.6767172474 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.404772683 1
8.3%
-1.371749831 1
8.3%
-1.214487561 1
8.3%
-0.5559499262 1
8.3%
-0.1714209137 1
8.3%
ValueCountFrequency (%)
1.958369807 1
8.3%
1.172632061 1
8.3%
1.034845103 1
8.3%
0.6767172474 1
8.3%
0.4128292936 1
8.3%

accrual
Real number (ℝ)

Unique 

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3533189296
Minimum-1.760827533
Maximum1.399014781
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)83.3%
Memory size192.0 B
2025-03-30T11:02:27.877410image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.760827533
5-th percentile-1.379089676
Q1-0.7517329228
median-0.4350954993
Q3-0.3677167427
95-th percentile1.357956437
Maximum1.399014781
Range3.159842314
Interquartile range (IQR)0.3840161801

Descriptive statistics

Standard deviation0.8981059553
Coefficient of variation (CV)-2.541912929
Kurtosis1.21039744
Mean-0.3533189296
Median Absolute Deviation (MAD)0.2018607895
Skewness1.012571776
Sum-4.239827155
Variance0.8065943069
MonotonicityNot monotonic
2025-03-30T11:02:28.312411image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.9148556754 1
8.3%
-0.5578382451 1
8.3%
-1.760827533 1
8.3%
-0.3924099593 1
8.3%
-0.4299586458 1
8.3%
1.324363247 1
8.3%
1.399014781 1
8.3%
-0.2936370929 1
8.3%
-0.697358672 1
8.3%
-0.4093283036 1
8.3%
Other values (2) 2
16.7%
ValueCountFrequency (%)
-1.760827533 1
8.3%
-1.066758703 1
8.3%
-0.9148556754 1
8.3%
-0.697358672 1
8.3%
-0.5578382451 1
8.3%
ValueCountFrequency (%)
1.399014781 1
8.3%
1.324363247 1
8.3%
-0.2936370929 1
8.3%
-0.3924099593 1
8.3%
-0.4093283036 1
8.3%
Distinct4
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size192.0 B
2025-03-30T11:02:28.927437image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length116
Median length105
Mean length94
Min length83

Characters and Unicode

Total characters1128
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)8.3%

Sample

1st rowThe company reported a steady increase in revenue, reflecting strong market demand.
2nd rowDespite market volatility, the firm's financial position is strong, with solid liquidity and manageable debt levels.
3rd rowThe company reported a steady increase in revenue, reflecting strong market demand.
4th rowChallenges remain in the supply chain, but strategic investments in logistics are improving efficiencies.
5th rowThe outlook remains positive, with expected growth in both domestic and international markets.
ValueCountFrequency (%)
in 14
 
8.9%
the 12
 
7.6%
strong 6
 
3.8%
market 6
 
3.8%
company 5
 
3.2%
steady 5
 
3.2%
a 5
 
3.2%
reported 5
 
3.2%
increase 5
 
3.2%
reflecting 5
 
3.2%
Other values (35) 89
56.7%
2025-03-30T11:02:29.981303image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
12.9%
e 134
11.9%
i 92
 
8.2%
t 86
 
7.6%
n 86
 
7.6%
a 68
 
6.0%
r 62
 
5.5%
s 58
 
5.1%
o 50
 
4.4%
c 37
 
3.3%
Other values (21) 310
27.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1128
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
145
12.9%
e 134
11.9%
i 92
 
8.2%
t 86
 
7.6%
n 86
 
7.6%
a 68
 
6.0%
r 62
 
5.5%
s 58
 
5.1%
o 50
 
4.4%
c 37
 
3.3%
Other values (21) 310
27.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1128
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
145
12.9%
e 134
11.9%
i 92
 
8.2%
t 86
 
7.6%
n 86
 
7.6%
a 68
 
6.0%
r 62
 
5.5%
s 58
 
5.1%
o 50
 
4.4%
c 37
 
3.3%
Other values (21) 310
27.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1128
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
145
12.9%
e 134
11.9%
i 92
 
8.2%
t 86
 
7.6%
n 86
 
7.6%
a 68
 
6.0%
r 62
 
5.5%
s 58
 
5.1%
o 50
 
4.4%
c 37
 
3.3%
Other values (21) 310
27.5%